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皮肤的力学性能概述

皮肤的力学性能概述

皮肤的力学性能概述作者:卢天健, 徐峰, LU Tianjian, XU Feng作者单位:卢天健,LU Tianjian(西安交通大学强度与振动教育部重点实验室,西安,710049), 徐峰,XU Feng(剑桥大学工程系,CB2 IPZ,英国剑桥)刊名:力学进展英文刊名:ADVANCES IN MECHANICS年,卷(期):2008,38(4)被引用次数:1次nir Y Skin mechanics 19872.Parsons K C Human Thermal Environments 19933.Silver F H.Siperko L M.Seehra G P Mechanobiology of force transduction in dermal tissue 2003(01)4.Dombi G W.Haut R.C The tensile strength of skin and correlations with collagen content,1985 Advances in Bioengineering 19855.Reihsner R.Balogh B.Menzel E J Two-dimensional elastic properties of human skin in terms of an incremental model at the in vivo configuration 1995(04)6.Cotta-Pereira G.Rodrigo G.Bittencourt-Sampaio S Oxytalan,elaunin,and elastic fibers in the human skin 19767.Weber L.Kitsch E.Muller P Collagen type distribution and macromolecular organization of connective tissue in different layers of human skin 1984(02)8.Holzapfel G A Biomechanics of soft tissue 20019.Elsner P.Berardesca E.Wilhelm K P Bioengineering of the Skin:Skin Biomechanics 200210.Gitis N V.Sivamani R K Tribometrology of skin 200411.Hollander D A.Erli H J.Theisen A Standardized qualitative evaluation of scar tissue properties in an animal wound healing model 2003(02)12.Kitzmiller W J.Visscher M.Page D A A controlled evaluation of dermabrasion versus CO2 laser resurfacing for the treatment of perioral wrinkles 2000(06)13.Duchemin G.Maillet P.Poignet P A hybrid position/force control approach for identification of deformation models of skin and underlying tissues 2005(02)14.Gambarotta L.Massabo R.Morbiducei R In vivo experimental testing and model identification of human scalp skin 2005(11)15.Molinari E.Fato M.De Leo G Simulation of the biomechanical behavior of the skin in virtual surgical applications by finite element method 2005(09)16.Zeng Y.Xu C Q.Yang J Biomechanical comparison between conventional and rapid expansion of skin 200317.Zeng Y J.Liu Y H.Xu C Q Biomechanical properties of skin in vitro for different expansion methods 2004(08)18.Saulis A utenschlnger E P.Mustoe T A Biomechanical and viscoelastic properties ofskin,SMAS,and composite flaps as they pertain to rhytidectomy 2002(02)19.Thacker J G.Stalnecker M C.Allaire P E Practical applications of skin biomechanics 1977(02)20.Powell H M.Boyce S T EDC crces-linking improves skin substitute strength and stability 2006(34)21.Goodwin A W.Wheat H E Sensory signals in neural populations underlying tactile perception and manipulation 200422.Birznieks I.Jenmalm P.Goodwin A Encoding of direction of fingertipforces by human tactile afferents 200123.Moy G.Singh U.Tan E Human psychophysics for teletaction system design 2000(03)24.Biggs J.Srinivasan M A Tangential versus normal displacements of skin:Relative effectiveness for producing tactile sensations 200225.Iida I.Koyanagi T.Isobe Y Studies on typification of cosmetics-application of sensory evaluation to classify milky lotion 1987(03)26.Sulzberger M B.Cortese T A.Fishman L Studies on blisters produced by friction 199627.Zimmerer R wson K D.Calvert C J The effects of wearing diapers on skin 198628.E1-Shimi A F In vivo skin friction measurements 197729.Buchholz B.Frederick L J.Armstrong T J An investigation of human palmar skin friction and the effects of materials,pinch force and moisture 198830.Wang Q.Hayward V In vivo biomechanics of the fingerpad skin under local tangential traction2006(04)31.Moy G.Wagner C.Fearing R S A compliant tactile display for teletaction 200032.Levesque V.Pasquero J.Hayward V Display of virtual Braille dots by lateral skindeformation:Feasibility study 2005(02)33.Drewing K.Fritschi M.Zopf R First evaluation of a novel tactile display exerting shear force via lateral displacement 2005(02)34.Brett P N.Fraser C A.Henningan M Automatic surgical tools for penetrating flexible tissues1995(03)rrabee W F,Jr A finite element model of skin deformation.I.Biomechanics of skin and soft tissue:a review 1986(04)36.Edwards C.Marks R Evaluation of biomechanical properties of human skin 1995(04)37.Pierard G E EEMCO guidance to the in vivo assessment of tensile functional properties of theskin-Part 1:Relevance to the structures and ageing of the skin and subcutaneous tissues 1999(06) 38.Wilhelmi B J.Blackwell S J.Mancoll J S Creep vs.stretch:A review of the viscoelastic properties of skin 1998(02)39.DiMaio V J Penetration and perforation of skin by bullets and missiles.A review of the literature 1981(02)40.Karwoski A C Testing and analysis of the peeling of medical adhesives from human skin 200341.Cook T.Alexander H.Cohen M Experimental method for determining the 2-dimensional mechanical properties of living human skin 1977(04)vitro results 198243.Vogel H G Mechanical properties of rat skin as compared by in vivo and in vitro measurement 198244.Marangoni R D.Glaser A A.Must J S Effect of storage and handling techniques on skin tissue properties 1966(16)45.Jacquet E.Gwendal J.Khatyr F A new experimental method for measuring skin'snatural tension 200846.Marks M G.Doillon C.Silver F H Effects of fibroblasts and basic fibroblast growth-factor on facilitation of dermal wound-healing by type-i collagen matrices 1991(05)47.Rodrigues L.Group E EEMCO guidance to the in vivo assessment of tensile functional properties of the skin,Part Ⅱ.Instrumentation and test methods 200148.Greenleaf J F.Fatemi M.Insana M Selected methods for imaging elastic properties of biological tissuesy 200349.Wilkes G L.Brown I A.Wildnauer R H The biomechanical properties of skin 1973(04)50.Nicolopoulos C S.Giannoudis P V.Glarce K D In vitro study of the failure of skin surface after influence of hydration and preconditioning 1998(11)51.Eshel nir Y Effects of strain level and proteogiycan depletion on preconditioning and viscoelastic responses of rat dorsal skin 200152.Ozyazgan I.Liman N.Dursun N The effects of ovariectomy on the mechanical properties of skin in rats 2002(01)53.Shergold O A.Fleck N A.Radford D The uniaxial stress versus strain response of pig skin and 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deformations in biological tissue 1982(07)63.Hung C T.Williams J L A method for inducing equibiaxial and uniform strains in elastomeric64.Mitchell S B.Sanders J E.Garbini J L A device to apply user-specified strains to biomaterials in culture 2001(02)65.Sanders J E.Mitchell S B.Wang Y N An explant model for the investigation of skin adaptation to mechanical stress 2002(12)66.Dupuytren G Tralte theorique et pratique des blessures pax axmes de guerre 183467.Gibson T.Kenedi R M Biomechanicai properties of skin 1967(02)68.Gibson T.Stark H.Evans J H Directional variation in extensibility of human skin in vivo 196969.Manschot J F.Brakkee A J The measurement and modelling of the mechanical properties of human skin in vivo II.The model 1986(07)70.Manschot J F.Brakkee A J The measurement and modelling of the mechanical properties of human skin in vivo-I.The measurement 1986(07)71.Wan Abas W A.Baxbenel J C Uniaxial tension test of human skin in vivo 1982(01)72.Wan Abas W A B.Baxbenel J C Response of human skin to small tensile loads in vitro 1995(02)73.van Ratingen M R.Petterson R.Drost M R Mixed numerical experimental method to find Langer'slines of skin 199374.Khatyr F.Imberdis C.Vescovo P Model of the viscoelastic behaviour of skin in vivo and study of anisotropy 2004(02)75.Kirkpatrick S J.Duncan D D.Fang L Low-frequency surface wave propagation and the viscoelastic behavior of porcine skin 2004(06)76.Reihsner R.Menzel E J On the orthogonal anisotropy of human skin as a function of anatomical region 1996(02)77.Vexler A.Polyansky I.Gorodetsky R Evaluation of skin viscoelasticity and anisotropy by measurement of speed of shear wave propagation with viscoelasticity skin analyzer 199978.Douven L F A.Meijer R.Oomens C W J Characterisation of mechanical behaviour of human skin in vivo 200079.Melling M.Pfeiler W.Karimian-Teherani D Differential scanning calorimetry,biochemical,and biomechanical analysis of human skin from individuals with diabetes mellitns 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coherence tomography of in vivo human skin 200099.Jiao S.Todorovic M.Stoics G Fiber-based polarization-sensitive Mueller matrix optical coherence tomography with continuous source polarization modulation 2005100.Yasui T.Tohno Y.Araki T Determination of collagen fiber orientation in human tissue by use of polarization measurement of molecular socond-harmonic-generation light 2004101.Rellhauser H Tensile Strength Human Skin 1950102.Grahame R In vivo Observations on the Elastic Properties of Human Skin 1968103.Grahame R.Holt P J L The influence of aging on the in vivo elasticity of human skin 1969104.Sanders R Torsional elasticity of human skin in vivo 1973(03)105.Alexander H.Cook T H Variations with age in the mechanical properties of human skin in vivo 1976 106.Agache P G.Monneur C.Leveque J L Mechanical properties and Young'smodulus of human skin in vivo 1980(03)107.Leveque J L.de Rigal J.Agache P G Influence of ageing on the in vivo extensibility of human skin at a low stress 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Young'smodulus of soft tissues from indentation testsnonlinear finite element analysis of effects of friction and large deformation 1997(06)119.Barel A mbreeht R.Clarys P Mechanical function of the skin:state of the art 1998120.Diridollou S.Black garde J M Sex-and site-dependent variations in the thickness and mechanical properties of human skin in vivo 2000121.Diridollou S.Patat F.Gens F In vivo model of the mechanical properties of the bureau skin under suction 2000(04)122.Diridollou S.Vabre V.Berson M Skin ageing:changes of physical properties of human skin in vivo 2001123.Dandekar K.Raju B I.Srinivasan M A3-D finite-element models of human and monkey fingertips to investigate the mechanics of tactile sense 2003124.Pedersen L.Hansen B.Jemec G B Mechanical properties of the skin:a comparison between two suction cup methods 2003(02)125.Gennisson J L.Baldeweck T.Tauter M Assessment of elastic parameters of human skin using dynamic elastography 2004(08)126.Grebenyuk L A.Uten'kin A A Mechanical properties of the human skin:Communication I 1994(02) 127.Hendriks F M.Brokken D.Oomens C W The relative contributions of different skin layers to the mechanical behavior of human skin in vivo using suction experiments 2006(03)128.Daly C H Biomechanieal properties of dermis 1982(z1)129.Maeno T.Kobay-Ashi K.Yamazaki N Relationship between the structure of human finger tissue and the location of tactile receptors 1998130.Pan L.Zan L.Foster F S Ultrasonic and viscoelastic properties of skin under transverse mechanical stress in vitro 1998(07)131.Silver F H.Freeman J W.DeVote D Viscoelastic properties of human skin and processed dermis2001(01)and Young'smodulus 2004133.Jansen L H.Rottier P B Some mechanical properties of human abdominal skin measured on excised strips:a study of their dependence on age and how they 'are influenced by the presence of striae 1958(02)134.Veroncla D R.Westmann R A Mechanical characterization of skin-finite deformations 1970(01)135.Vogel H G Antagonistic effect of aminoacetonitrile and prednisolone on mechanical properties of rat skin 1971(03)136.Ranu H S.Burlin T E.Hutton W C The effects of xirradiation on the mechanical properties of skin 1975(01)137.Oxlund H.Manschot J.Viidik A The role of elastin in the mechanical properties of skin 1988(03) 138.Pereira J M.Mansour J M.Davis B K Dynamic Measurement of the Viscoelastic Properties of Skin 1991(02)139.Greven H.Zanger K.Schwinger G Mechanical properties of the skin of Xenopus laevis(Anura,Amphibia) 1995(01)140.Iatridis J C.Wu J R.Yandow J A Subcutaneous tissue mechanical behavior is linear andviscoelastic under uniaxial tension 2003(05)141.Chi X.Nian L.Zhongyou G Investigating testing elasticity of equivalent material for human skin 2005142.Wildnauer R H.Bothwell J W.Douglass A B Stratum corneum biomechvanical properties.I.Influence of relative humidity on normal and extracted human stratum cornenm 1971(01)143.Park A.Baddiel C Rheology of stratum corneum i.a molecular 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the normal and diabetic human penis following implantation of an inflatable prosthesis 1999152.Retel V.Vescovo P.Jacquet E Nonlinear model of skin mechanical behaviour analysis with finite element method 2001(03)153.Zhang Y.Goldgof D B.Sarkar S A modeling approach for burn scar assessment using natural features andelastic property 2004(10)154.Majaron B.Lukac M Thermo-mechanical laser ablation of hard dental tissues:an overview of effects,regimes,and models 1999155.Magnenat-Thalmann N.Kalra P.Leveque J L A computational skin model:fold and wrinkle formation 2002(04)156.Lees C.Vincent J F.Hillerton J E Poisson'sratio in skin 1991(01)157.Wu J Z.Dong R G.Smutz W P Non-linear and viscoelastic characteristics of skin under compression:experiment and analysis 2003(04)158.Gefen A.Chen J.Elad D A biomechanical model of Peyronie'sdisease 2000(12)159.Gefen A.Megido-Ravid M.Azariah M Integrating a Photoelastic Device into Open MRI for Soft Tissue Mechanics Studies 1998160.Delalleau A.Joese garde J M Characterization of the mechanical properties of skin by inverse analysis combined with the indentation test 2006(09)161.Hvidberg E Investigation into the effect of mechanical pressure on the water content of isolated skin 1960162.Von Gierke H E Biomechanics of impact injury 1962163.North J F.Gibson F Volume compressibility of human abdominal skin 1978(04)164.Voesoughi J.Vaishnav R N Comments on the paper "volume compressibility of human abdominal skin" 1979(06)165.Sekhon K S Ultrasonic techniques to study wound healng 1976166.Howes E L.Sooy J W.Harvey S C The healing of wounds as determined by their tensile strength 1929 167.Sandblom P Determination of the tensile strength of the healing wound as a clinical test1953(04)168.Sandblom P.Petersen P.Muren A Determination of the tensile strength of the healing wound as a clinical test 1953(1-4)169.Sandblom P Tensile strength of healing wounds,an experimental study 1944(zk)170.Beckwith T G.Brody G S.Glaser A A Standardization of methods 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1997(01)204.Granot I.Bartov I.Plavnik I Increased skin tearing in broilers and reduced collagen synthesis in skin in vivo and in vitro in response to the coccidicetat halofuginone 1991(07)205.Wang Y L.Attenburrow G E Strength of Brazilian Goatskin Leathers in Relation to Skin and Animal Characteristics 1994(02)206.Atkins A G.Mai Y W Elastic and Plastic Fracture 1985207.Doran C F.McCormack B A O.Macey A A simplified model to determine the contribution of strain energy in the failure process of thin biological membranes during cutting 2004(04)208.Davis S ndis B J.Adams Z H Insertion of microneedles into skin:measurement and prediction of insertion force and needle fracture force 2004(08)209.Dahan garde J M.Turlier V Treatment of neck.lines and forehead rhytids with a nonablative 1 540 nm Er:glass laser:a controlled clinical study combined with the measurement of the thickness and the mechanical properties of the skin 2004(06)210.Chaudhry H R.Bukiet B.Findley T Evaluation of residual 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机器学习题库

机器学习题库

机器学习题库一、 极大似然1、 ML estimation of exponential model (10)A Gaussian distribution is often used to model data on the real line, but is sometimesinappropriate when the data are often close to zero but constrained to be nonnegative. In such cases one can fit an exponential distribution, whose probability density function is given by()1xb p x e b-=Given N observations x i drawn from such a distribution:(a) Write down the likelihood as a function of the scale parameter b.(b) Write down the derivative of the log likelihood.(c) Give a simple expression for the ML estimate for b.2、换成Poisson 分布:()|,0,1,2,...!x e p x y x θθθ-==()()()()()1111log |log log !log log !N Ni i i i N N i i i i l p x x x x N x θθθθθθ======--⎡⎤=--⎢⎥⎣⎦∑∑∑∑3、二、 贝叶斯假设在考试的多项选择中,考生知道正确答案的概率为p ,猜测答案的概率为1-p ,并且假设考生知道正确答案答对题的概率为1,猜中正确答案的概率为1,其中m 为多选项的数目。

Trucost

Trucost

Trucostdriving sustainable investment decision makingNatural capital liabilities such as carbon, water,resource dependency, pollutants and waste arethreatening the ability of our natural ecosystems todeliver economic growth. The impact is alreadybeing felt through volatile commodity prices linkedto extreme weather events and natural resourceconstraints. Governments are also beginning to askcompanies to internalize environmental costs throughregulatory frameworks.We’ll help you navigate the complexities of naturalcapital investment factors with data, insight and toolsthat identify liabilities concealed within corporatevalue chains and help you integrate natural capitalconsiderations in financial products and services.Trucost’s Environmental Register provides the world’s most comprehensive natural capital data representing 93% of global markets by market capitalization. We also provide customized insight based on our environ-mental economics expertise. Key to our approach is that we not only measure natural capital risk in physical quantities, we also apply a financial value to provide an overarching metric for risk and opportunity analysis.Our data is used by the world’s largest pension funds and leading financial institutions to enhance their investmentprocesses – you can trust in our credentials.We help investors understand the economic consequences of natural capital dependency in order to identify risk and opportunity from growing natural resource pressures and increasing environmental regulationHow can Trucost help?We provide industry leading data, tools and insight that identify investment risk and opportunityfrom increasing natural resource constraints and environmental costs.Trucost’s Environmental Register provides the world’s most comprehensive natural capital data covering 93% of global markets by market capitalization to help investors embed natural capital considerations within traditional investment analysis. Trucost Environmental RegisterNatural capital impacts are often concealed within global supply chains. We use advanced environmental modelling to reveal liabilities at each tier of the value chain for holistic risk and opportunity analysis. We then apply standardized company disclosed natural capital data – and engage annually with the world’s largest companies to either confirm or improve our research by incorporating the latest non-disclosed information. You can be confident in our ability to provide complete and comprehensive natural capital es of Trucost’s Environmental RegisterOur data and insight supports fundamental analysis, best in class analysis, investment screening, scenario analysis, risk monitoring, engagement and thematic research. But every investment strategy is different. Our analysts are experts in environmental economics. They will work with you to identify the best ways in which natural capital metrics can be applied to your particular investment strategy in order to: Generate alpha•Reduce risk•Analyze commodity flows•Understand the impact of regulatory frameworks•Create new investment products•Market existing products•Conduct natural capital engagement programmes•Gain deeper insight into key natural capital themes•Meet increasing reporting requirements e.g. UN PRI, NCD, CDP or GHG Protocol •Features of Trucost dataFor banks, natural capital risk is mainly focused in lending and financing activities – yet few banks are actively managing this systemic risk.Bank loan booksWe help banks identify, monitor and report naturalcapital risk embedded in financing activities as aresult of growing natural resource pressures andincreasing environmental regulation.Our data and insight provides a fast assessment ofnatural capital risk by company, region or sector.We can rank and benchmark companyperformance and disclosure to support annual riskassessments. Or we can develop customizedplatforms to engage with companies in order tomanage risk and promote best practice standards.We also provide a comprehensive range of timeseries natural capital metrics to support thedevelopment of new investment products orclient services.Chart 2:Natural capital risk for banksPortfolio auditsOur portfolio audits provide a comprehensive understanding ofnatural capital risk and opportunity at portfolio level or acrossconsolidated holdings – including comparison to appropriatebenchmarks to explain the effect of stock selection and sectorallocation decisions.They support you in evaluating unanticipated bias to naturalcapital risk, highlight engagement issues – and help you meetincreasing environmental reporting requirements, including UNPRI, CDP , GHG Protocol, investment mandates and stakeholderreporting.We assess a range of natural capital metrics including carbonemissions, water use, resource dependency, pollutants andwaste across equity, fixed income, private equity, property, realestate, infrastructure, and commodity portfolios.We also provide customized solutions for calculating andPortfolio audits help you to quickly assess the natural capital implications of investment portfolios though the traditional lens of portfolio attribution analysis.Chart 3:Stock and sector allocationOur data drives investment products from leading fund managers that deliver financial performance with up to 50% reduced natural capital risk Investment productsWe work with index providers, fund managers and pension fundsto develop investment products that deliver financial performancealongside reduced risk from growing natural resource pressures andincreasing environmental regulation.Our comprehensive range of time series natural capital metricsunderpins active and passive investment strategies.Whether you want to generate alpha, reduce risk or track aninvestment benchmark, our expert analysts will support you everystep of the way.Chart 4:S&P IFCI Carbon Effficient IndexEngagementWe provide customized, data driven solutions to ensure your environmental engagement programmes are well informed and focused in the right areas.We provide company briefings summarizing issues for engagement, supported by data on how the company’s performance compares to peers and sector benchmarks, to ensure your engagement programmes are well informed.We can also provide time series data for trend analysis, set targets for companies to improve performance – and report changes in performance following engagement programmes.Our data and insight helps you:Identify companies where engagement on natural capital• issues is most likely to increase shareholder valueAssess which companies and sectors will be most affected• by current and future regulatory frameworksUnderstand the impact of pass through regulatory costs• through environmental economic analysisAnalyze the effect of commodity price shocks on• company supply chainsMeet UN PRI commitments quote• Chart 5:Change in commodity costs/EBITDAInsightOur research can be thematic looking at particular sectors and associated resource constraints and environmental costs; regional, such as examiningenvironmental disclosure in emerging markets; or issue specific, such as authoring the UK government’s environmental reporting guidelines for business.We p ublish regular research studies to support the investment community in understanding natural capital risk and opportunity across investment funds, indices, regions and sectors.Visit to download our FREE published research.EBoardEBoard is a robust analytical tool designed by Trucost to help investors identify natural capital risk and opportunity from growing natural resource pressures and increasing environmental regulation. Powered by our comprehensive natural capital data and insight, EBoard provides a comprehensive range of natural capital metrics to support company and portfolio level analysis.Alternative delivery options•FactSetFactSet has partnered with Trucost to enable investors to seamlessly embed environmental risk management into their everyday decision making, alongside traditional financial metrics. The partnership creates an integrated approach to analysing the environmental performance and associated financial risk of all companies across the major investment indices, including carbon, water, waste, pollution and natural resource dependency.•Style ResearchStyle Research has formed a partnership with Trucost to incorporate its data and analysis on the environmental impacts of companies into its traditional equity style analysis, allowing asset managers to assess the environmental footprint of their funds, understand the risks and create funds with lower impacts.CredentialsTrucost has analysed the economic consequences of environmental dependencies associated with $2.7 trillion investment funds.• Trucost data drives a range of environmentally optimised indices and investment products for leading index providers and fund managers • including Bank of America Merrill Lynch, GLG Partners, Legal and General Asset Management, NYSE Euronext, Standard and Poor’s, UBS, VicSuper and Virgin Money.Trucost works with the world’s largest pension funds to help them integrate natural capital metrics in investment decision making including, • BT Pension Scheme, CalSTRS and the Norwegian Petroleum Fund.Trucost is a Gold CDP Partner. By partnering with the CDP, Trucost is able to embed CDP data within its data subscription services • Trucost assessed the environmental damage costs of the world’s largest 3,000 companies on behalf of the United Nations Environment • Programme Finance Initiative (UNEP FI) and the United Nations Principles for Responsible Investment (UN PRI).Trucost was commissioned by the UK Government to write its Environmental Reporting Guidelines for Business: Key Performance Indicators.• Trucost has worked with Newsweek since 2009 as the lead research partner for its annual Green Rankings.• Trucost data is used by 15 academic institutions (including Harvard, Yale & Oxford University) and is supported by an Academic • Advisory Panel.Trucost has been researching, standardising and validating the world’s most comprehensive environmental impact data for over 12 years, •including carbon emissions, water usage, waste disposal, pollutants and natural capital dependency.Trucost has been helping investors, companies, governments, academics and thought leaders to understand the economic consequences of natural capital dependency for over 12 years – and has a strong heritage of delivering innovative, data drivensolutions to meet complex sustainability challenges.Our clientsKeep in touchFollow us on twitter…@trucostJoin us on LinkedIn…/trucostKeep up to date with our news, events and blog…/news-and-eventsTrucost is a Research and Information business focused on natural resource economics, with a growing client base of investors, corporations and consultants in the Americas, Asia, Australia and Europe. The Company pioneered the quantitative analysis of corporate impacts on the environment, in terms of carbon emission, water use, waste and pollution.UK Trucost Plc, 22 Chancery Lane London WC2A 1LS United Kingdom T:+44 (0) 20 7160 9800 E: *********************North America Trucost Plc, 60 State Street Suite 700 Boston, MA. 02109 T: +1 800 402 8774 E: ************************Asia Trucost Plc, Beijing, China. T: +86 138******** E: asia @Contact usDr. Richard Mattison Chief Executive OfficerAlastair MacGregor Chief Operating Officer Lauren SmartExecutive DirectorLibby BernickSenior Vice President, North AmericaChaoni Huang Head of Business Development, Asia。

模式识别与机器学习 复习资料 温雯 老师

模式识别与机器学习 复习资料 温雯 老师
(1) image enhancement (2) separating touching or occluding fish (3) finding the boundary of the fish
温雯

一些需要提及的问题
温雯 广东工业大学 计算机学院 23
温雯
广东工业大学
计算机学院
21
温雯
广东工业大学

模式识别系统的复杂性 – An Example
“利用光学传感器采集信息,对 传送带上的鱼进行种类的自动 区分” Fish Classification: Sea Bass / Salmon
一个例子
将鲈鱼与三文鱼进行区分 问题归纳(抽象而言) • 模式识别系统 • 设计流程
Preprocessing involves:
广东工业大学 计算机学院 28
Overlap in the histograms is small compared to length feature 温雯 广东工业大学 计算机学院
27
温雯
判定边界

错误分类的代价

模型的复杂度

Generalization (推广能力)

Partition the feature space into two regions by finding the decision boundary (判定边界)that minimizes the error.
Optical Character Recognition (typography)
A v t u I h D U w K

一种新的人机交互系统 你,从中看到模式识别吗?
Vision

无线电传输在双线圈及四线圈系统中的耦合模理论

无线电传输在双线圈及四线圈系统中的耦合模理论

Transmission of Wireless Power in Two-Coil and Four-Coil Systems using Coupled Mode TheoryManasi Bhutada, Vikaram Singh, ChiragWartyDept. of Electrical and Electronics EngineeringIntelligent Communication LabMumbai, India无线电传输在双线圈及四线圈系统中的耦合模理论电气与电子工程系智能通信实验室印度,孟买姓名:学号:班级:日期:2016年7月2日Abstract—Wireless Power Transfer (WPT) systems are considered as sophisticated alternatives for modern day wired power transmission. Resonance based wireless power delivery is an efficient technique to transfer power over a relatively long distance. This paper presents a summary of a two-coil wireless power transfer system with the design theory, detailed formulations and simulation results using the coupled mode theory (CMT). Further by using the same theory, it explains the four-coil wireless power transfer system and its comparison with the two-coil wireless transfer power system. A four-coil energy transfer system can be optimized to provide maximum efficiency at a given operating distance. Design steps to obtain an efficient power transfer system are presented and a design example is provided. Further, the concept of relay is described and how relay effect can allow more distant and flexible energy transmission is shown.摘要——无线电源传输(WPT)系统被认为是复杂的现代有线输电的替代品。

英汉人文地理词汇

英汉人文地理词汇

A阿朗索模型Alonso model阿罗定理Arrow’s theoremB保护conservation备选格网分析repertory grid analysis背景理论contextual theory背景效应contextual effect本体论ontology比较成本分析comparative cost analysis 比较优势comparative advantage边疆frontier边疆理论frontier thesis边界boundary边缘带fringe belt辩证法dialectic变动成分components of change变量转换transformation of variables 波斯坦论题Postan thesis博塞洛普论点Boserup thesis博弈论game theory伯克利学派Berkeley School不公平分配选区malapportionment不公正的选区划分gerrymandering不均衡发展uneven development不确定性uncertainty布赖纳争议Brenner debateC财政危机fiscal crisis财政转移fiscal migration参与观察participant observation残差residual测度measurement测量measurement ; survey产业组织industrial organization场所place ;locale超空间hyperspace超前——滞后模型lead-lag models成本结构cost structrue成本面cost surface成本曲线cost curve成本收益分析cost-benefit analysis城市urban ; city城市企业家化urban entrepreneurialism城市村庄urban village城市的职能分类functional classification of cities 城市地理学urban geography城市更新urban renewal城市管理者与守护者urban managers and gatekeepers 城市规模分布city-size distribution城市化urbanization城市集居区barrio城市景观townscape城市起源urban origins城市群conurbation城市社会运动urban social movement城市生活方式urbanism城市生态学urban ecology城市首位律primate city , law of the城市特殊人口聚居区ghetto城市体系urban system城市与区域规划urban and regional planning城乡边缘带rural- urban fringe城乡过渡带rural- urban fringe城乡连续谱rural- urban continum城镇town乘数multipliers承载力carrying capacity尺度scale冲突conflict重组restructuring抽象化abstraction抽样sampling初始工业化protoindustrialization出口加工区export platform出行travel传播diffusion创新innovation粗放农业extensive agriculture村庄village存在主义existentialismD达尔文主义Darwinism大都市带megalopolis大都市劳动力区metropolitan labour area (MLA) 大理论Grand Theory大陆架continental shelf带状发展ribbon development代表权representation等费线isodapane等级规模法则rank-size rule等值线isarithms ; isolines ; isopleths抵抗态度NIMBY帝国主义imperialism蒂伯特模型Tiebout model蒂森多边形Thiessen polygon第二住宅second home第三世界Third Word地带zone地点locale地方place地方感sence of place地方效用place utility地方政府local state地方主义regionalism地理信息系统geographical information systems (GIS) 地理学geography地理学和分析马克思主义analytical Maxism , geography地理学会geographical societies地理学史geography , history of地理学与公正justice , geography and地理学与伦理ethics , geography and地理学想象力geographical imagination地理战略区域geostrategic regions地理政治变迁geopolitical transition地理政治学geopolitics地理知识论geosophy地名place-names地盘政治turf-politics地图影像与地图map image and map地图学cartography地图学史cartography , history of地形图topographic map地形转换transformation地域territory地域单元问题areal unit problem地域分异areal differentiation地域社会指标territorial social indicator地域性(体)locality地缘政治学geopolitik地租rent地租缺口rent gap调查surveying ; survey调查分析survey analysis定量方法quantitative methods定期集市体系periodic market systems定性方法qualitative methods东方主义orientalism都市区metropolitan area读图map reading杜能模型von ThÜnen model对数--线性模型log—linear modelling多层次模型multilevel modelling多国公司multinational corporation(MNC) 多核心模型multiple nuclei model多米诺理论domino theory多维标度multidimensional scaling(MDS) 多元社会plural society多元文化主义multiculturalism多元论pluralismE二项分布binomial distribution二元经济dual economyF发达development发展development发展方式mode of development发展极growth pole发展论developmentalism法兰克福学派Frankfurt School法律地理学law , geography of法则law反工业化deindustrialization反馈feadback反事实解释法couterfacture explanation反推法retrogressive approach反证法retroduction范式paradigm范围经济economies of scope犯罪地理学crime , geography of方差分析analysis of variance (ANOV A)方法论个人主义methodological individualism方言dialect方域地理学chorography方志学chorology仿真simulation非参数统计学non-parametric statistics非法占用squatting非法占用者居住区squatter settlement非汇总交通需求模型disaggegate travel demand modelling非均衡发展uneven development非正式部门informal sector菲利普斯曲线Phillips curve分岔bifurcation分成制sharecropping分割cleavage分割的劳动市场segmented labour market分级统计图choropleth map分类区间class interval分类与规划classification and regionalization 分配方式mode of distribution分配者gatekeepers分区模型zonal model分区制zoning分权devolution封建制度feudalism封建主义feudalism风险risk福利地理学welfare geography福利国家welfare state福特制Fordism福特主义Fordism福祉well-being符号学semiology (semiotics)符号互动论symbolic interactionism符号化symbolization服务阶级service class服务业地理学service , geography of辅助数据分析secondary data analysis抚养比dependency ratio腹地hinterland负担系数dependency ratioG概率地图probability map感应perception隔离segregation隔离指数indices of segregation耕作cultivation耕作类型farming , type of耕作业farming更替率replacement rates更新renewal工具主义instrumentalism工业地理学industrial geography工业革命industrial revolution工业惯性industrial inertia工业化industrialization工业区位论industrial location theory工业区位政策industrial location policy功能主义functionalism供给曲线supply curve公共财政地理学public finance , geography of公共地的悲剧tragedy of the commons公共服务业地理学public services , geography of公共管理地理学public administration , geography of 公共物品public goods公共选择理论public choice theory公共政策地理学public policy , geography of公民权citizenship公正justice共产主义communism共同市场common market共线性collinearity共享资源common pool resources关联性relevance关税tariff观念类型ideal types管制学派regulation school光谱分析spectral analysis规范理论normative theory规划planning规模scale规模经济economics of scale国家state国家二元论dual theory of the state国家公园national parks国家机器state apparatus国民生产总值gross national product (GNP) 国内生产总值gross domestic product (GDP) 过程process过度城市化overurbanization过滤filteringH海洋法law of sea旱作农业dry farming核心—边缘模式core-periphery model核心区域core area合成理论compositional theory合作社cooperative合作主义corporatism黑色经济black economy红线歧视redlining宏观地理学macrogeography后福特主义post-Fordism后工业城市post-industrial city后工业社会post-industrial society后结构主义poststucturalism后马克思主义post-Maxism后现代主义postmodernism后殖民主义postcolonialism厚描thick description互补性complementarity花园城市garden city划分fragmentation划区算法districting algorithm话语discourse环境environment环境感知environmental perception环境决定论environmental determinism ; environmentalism 环境论environmentalism环境审核environmental audit环境影响评价environmental impact assessment环境运动environmental movement环境灾害environmental hazard环境主义environmentalism荒漠化desertification荒野wilderness回归regression会展地理学spectacle , geography of汇总交通模型aggregate travel model混沌chaos混沌概念chaotic conception混合经济mixed economy混合农业mixed farming活动分配模型activity allocation model活动空间activity space霍特林模型Hotelling model或然论probabilism货币地理学money , geography ofJ激进地理学radical geography积极的歧视positive discrimination积累accumulation积累制度regime of accumulation基本供给品merit good基布兹(以色列集体农庄)kibbutz基础设施infrastructure机会成本opportunity cost饥荒famines集合城市conurbation集聚体agglomeration集体collective集体消费collective consumption集约农业intensive agriculture集中化centralization集中化和中心化concentration and centralization 即时生产just-in-time计量革命quantitative revolution计算机辅助制图computer-assisted cartography寄居工人gastarbeitev家庭重构family reconstitution家庭类型family types假说hypothesis价格政策pricing policies价值观values兼职农业part-time farming监测surveillance监督surveillance阶层class阶级class健康与保健地理学health and health care , geography of 交换reciprocity交通travel交通地理学transport geography交易分析transactional analysis郊区suburb校准calibration教育education教育地理学education , geography of街区级变blockbusting结构功能主义structural functionalism结构化理论structraction theory结构马克思主义structural Maxism结构主义structuralism结婚率nuptiality解除管制deregulation解构主义deconstruction解释学hermeneutics进化论Darwinism经济地理学economic geography经济基础infrastructure经济基础理论economic base theory经济人economic man经济一体化形式form of economic integration 经验主义empiricism景观landscape ; landschaft竞争方式genre de vie竞租曲线bid-rent curve敬地情结geopiety救济区zone of depedence聚落settlement聚落连续性settlement continuity距离摩擦friction of distance距离衰减distance decay决策decision-making决定论determinism均衡equilibriumK卡方检验chi square开发development开拓地frontier康德拉季耶夫周期Kondratieff cycles康德主义Kantianism康乐recreation科学园science park可变成本分析variable cost analysis可变收益分析variable revenue analysis可持续发展sustainable development可能论possibilism可修正地域单元问题modifiable areal unit problem 可转移性transferability克里斯塔勒模型Christaller model客籍工人gastarbeitev空间space空间边际spatial margin空间不均衡inequality , spatial空间崇拜spatial fetishism空间费用曲线space cost curve空间分离论spatial separatism空间分析spatial analysis空间结构spatial structure空间经济学space-economy空间科学spatial science空间垄断spatial monopoly空间偏好spatial preference空间的生产production of space空间收益曲线space revenue curve空间相互作用spatial interaction空间性spatiality空间自相关spatial autocorrelation跨国公司transnational corporation扩散diffusionL拉马克主义Lamarck(ian)ism劳动labour劳动分工division on labour劳动过程labour process劳动价值论labour theory of value劳动力市场labour market劳里模型Lowry model勒普拉社会Le Play Society类型数据分析categorical data analysis离散选择模型discrete choice modelling离心力和向心力centrifugal and centripetal forces 理论theory理性选择理论rational choice theory利润面profit surface例外主义exceptionalism历史地理学historical geography历史唯物主义historic materialism联邦制federalism联合主义consociationalism联盟alliance联系linkages连锁linkages连通度connectivity连续占据sequent occupance链式迁移chain migration恋地情结topophilia邻里neighbourhood邻里单元neighbourhood unit邻里效应neighbourhood effect零售业地理学retailing , geography of领地territory领海territorial sea领土territory领土性territoryiality“陆军中尉”研究subaltern studies旅游地理学tourism , geography of绿带green belt绿色革命green revolution逻辑斯蒂模型logit逻辑实证主义logical positivismM马尔可夫过程(或马尔可夫链)Markov processes (or Markov chains ) 马尔萨斯模型Malthusuan model马克思主义地理学Maxist geography马克思主义经济学Maxist economics满意化行为satisfying behaviour蔓延sprawl贸易trade贸易比价terms of trade门户城市gateway city密度梯度density gradient面surface面谈interviewing苗床地区seed bed location民族nation民族方法学ethnomethodology民族国家nation-state民族统一主义irredentism民族性ethnicity民族志ethnography民族主义nationalism模拟simulation模式model模型modelN南--北North-South男性中心主义phallocentrism难民refugees内城inner city内飞地exclave内涵式研究intensive research内在关系internal relations能量energy能源energy逆城市化counterurbanization 逆向法retroduction逆中心化decentralization年鉴学派Annales School年龄与性别结构age and sex structure 农场划分farm fragmentation 农民peasant农田系统field system农业agriculture农业地理学agriculture geography 农业革命agriculture revolution 农业退化agriculture involution 农业综合企业agribusiness奴隶制度slavery女权主义地理学家feminist geographies P帕累托最优Pareto optimality配置allocation批判理性主义critical rationalism皮雷纳命题Pirenne thesis毗连区contiguous zone偏离—份额模型shift-share model贫困poverty贫困的循环cycle of poverty贫民窟slum贫民区slum平等equality平衡邻里balanced neighourhood 平均信息场mean information field 频率分布frequency distribution频数分布frequency distribution剖面cross-sectionQ歧视discrimination企业区enterprise zone迁徙耕种shifting cultivation迁移migration前工业城市preindustrial city欠发达underdevelopment欠消费underconsumption侵入和演替invasion and succession 囚徒困境prisoner’s dilemma区段section区划regionalization区际人口统计population accounts区位布局模型location-allocation model 区位分析location analysis区位理论location theory区位三角形locational triangle区位商location quotient区位相互依赖locational interdependence区域region区域地理学regional geography ; chorology ; chorography 区域公正territorial justice区域阶级联盟regional science区域经济周期regional cycles区域科学regional science区域联盟regional alliance区域趋同regional convergence ; convergence , regional 区域政策regional policy曲面surface趋势面分析trend surface analysis圈地enclosure权力power全球变暖(与温室效应) global warming (and greenhouse effect )全球未来global futures群落communityR人本主义地理学humanistic geography人口变动模型commodity人口地理学commercial geography人口过剩overpopulation人口金字塔population pyramid人口零增长zero population growth (ZPG )人口密度population density人口普查census人口普查区census tract人口潜力population potential人口预测population projection人类地理学anthropogeography人类能动性human agency人类生态学human ecology人类生态学方法错误ecological fallacy人类主观性subjectivity , human , human subjectivity 人类作用human agency人为灾害hazard , human-made人文地理学human geography人种学ethnography认识论epistemology日常城市体系daily urban system瑞利法则Reilly’s lawS扇形模型sectoral model商品commodity商业地理学commercial geography熵entropy熵最大化模型entropy-maximizing models上层建筑superstructure舍贝里模型Sjoberg model社会society社会达尔文主义social Darwinism社会地理学social geography社会反常状态anomie社会福祉social well-being社会公正social justice社会距离social distance社会空间social space社会理论social theory社会区分析social area analysis社会网络social network社会物理学social physics社会形态social formation社会运动social movement社会再生产social reproduction社会指标social indicator社会主义socialism社区community社团societies绅士化gentrification神圣空间与世俗空间sacred and profane space生产production生产地域综合体territorial production complex (TPC) 生产方式mode of production生产力forces of production ; productive forces 生产率productivity生产要素factors of production生产者服务业production services生产综合体production complex生存空间lebensraum生活世界lifeworld生活质量quality of life生命表life table生命周期life-cycle生态系统ecosystem生态学ecosystem生育率fertility实用主义pragmatism实在论realism实证主义positivism识别问题的要领problematic时间地理学time-geography时空会聚time-space convergence时空趋同time-space convergence时空压缩time-space compression时空延展time-space distanciation时空预测模型space-time forecasting model 市场market市场交换market exchange市场潜能模型market potential model市场区分析market area analysis市场指向market orientation市民身份citizenship世界城市world city世界系统分析world-system analysis适度人口optimum population收益revenue收益面revenue surface守护者gatekeepers数据分析data analysis数据库database数量革命quantitative revolution数字化digitizing水利社会hydraulic society私人和公共领域private and public spheres私有化privatization死亡率mortality搜索行为search behaviour酸雨acid rain随机过程stochastic processT泰勒主义Taylorism弹性积累flexible accumulation探索数据分析exploratory data analysis 探险exploration特大城市区megalopolis特殊性idiographic体育地理学sport , geography of天然地区nature调整restructuring通达性accessibility通勤commuting通则性nomothetic同化assimilation同批人cohort统计地图cartogram统计学statistics投入—产出input-output投影projection投资investment投资层次layers of investment突变论catastrophe theory图解法iconography图论graph theory图形能力graphicacy土地改革land reform土地利用调查land use survey土地占有land tenure推动主义boosterism推理inference退出、抱怨和信任exit , voice and loyalty脱离secessionW外部经济external economies外部性externalities外飞地enclave外界externalities外延式研究extensive research网络network微观模拟microsimulation危机crisis韦伯模型Weber model围地enclosure唯心主义idealism维护preservation维也纳学派;维也纳小组Vienna Circle (Wiener Kreis) 温室效应greenhouse effect文本text文化culture文化霸权hegemony , effect文化地理学cultural geography文化景观culture landscape文化区culture area文化生态学culture ecology文化政治学culture politics文化资本culture capital文化核心culture heart文明社会civil society稳定人口stable population问卷questionnaire问题的构成problematic污染pollution无差异曲线indifference curve无地方性placelessness无家可归homelessness无序资本主义disorganize capitalism无政府主义anarchismX习性habitus系统system系统分析system analysis下层阶级underclass下等街区skid row显示偏好分析revealed preference analysis 显著性检验significance text现代化modernization现代性modernity现代主义modernism现象环境phenomenal environment现象学phenomenology线性规划linear programming相关correlation相互依赖interdepedence相互作用interaction乡村rural乡村地理学rural geography乡村规划rural planning乡村社区rural community想当然的世界taken-for-granted world消费地理学consumption, geography of消费者服务业consumer service小农peasent效率effciency效用utility效用理论utility theory心脏地带heartland新城new town新古典经济学neoclassical economics新国际劳动分工new international division of labour (NIDL) 新李嘉图经济学neo-Ricardian economics新殖民主义neocolonialism信息城市information city信息论information theory形态morphology形态测量morphometry形态发生morphogenesis形态学morphology行为空间action space行为behaviour行为地理学behavioural geography行为环境behavioural environment性别与地理学gender and geography性与地理学sexuality and geography性质nature休闲recreation休闲地理学leisure, geography of修辞学rhetoric需求曲线demand curve畜牧pastozalism选举地理学electoral geography学会societies雪带snowbelt循环recyclingY亚细亚生产方式Asiatic model of production 演替succession验证数据分析confirmatory data analysis 阳光带/雪带sunbelt/snowbelt样方quadrat(e)遥感remote sensing野外性wilderness野外工作fieldwork依附dependence依附带zone of dependence一般线性模型general linear model一般系统论general systems theory一体化integration医学地理学medical geography遗产制度inheritance system移动mobility移居diaspora移民劳动力migrant labour意境地图mental map意识形态ideology异化alienation因子分析factor analysis因子复合体compage因子生态学factorical ecology应用地理学applied geography游牧transhumance游牧生活nomadism有序资本主义organize capitalism友邻效应friend-and-neibours effect语言language语言与方言地理学language and dialect, geography 语义(学)差别semantic difference预测forecasting预测寿命life expectancy预算estimate预言predicition原料指向material orientation援助aid运费率freight rate运输成本transport cost运输方式划分modal spilt运输问题transportation problemZ再分配redistribution暂时城市化temporary urbanization增长growth增长的极限limits to growth增长极growth pole增长阶段stages of growth占据occupancy整体论holism正态分布normal distribution证伪falsification政治地理学political geography政治经济学political economy芝加哥学派Chicago School殖民主义colonialism指令经济command economy治安地理学policing , geography of滞后hysteresis中间机会intervening opportunities中心地理论central place theory中心化centralization中心商务区central business district (CBD)中心图学centrography中央计划central planning种植园plantation种族race种族隔离apartheid种族中心主义ethnocentrism种族主义racism重力模型gravity model重商主义模式mercantile model主成分分析principal components analysis (PCA) 主导产品staple主导产品理论staples theory主权sovereignty住房阶层housing class住房研究housing studies专家系统expert systems专题地图thematic map追溯法retrospective approach资本capital资本循环circuit of capital资本主义capitalism资源resource资源管理研究resource management资源管理部门resource management资源评价resource evaluation自发聚落spontaneous settlement自给农业subsistence agriculture自决权self-determination自然nature自然区natural area自然主义naturalism自然资源natural resource自相关autocorrelation自由布局型工业footloose industry自由港free port自由贸易区free trade area宗教地理学religion , geography of纵向课题vertical theme纵向数据分析longitudinal analysis租金rent最佳城市规模optimum city size最近相邻分析nearest neighbour analysis 最小最大化准则maximum criterion最优化模型optimization model。

linear-quadratic1

linear-quadratic1
• Historically interesting linear classifier (Rosenblatt 1962) • Predecessor for neural networks • Input vector is transformed x φ(x)
• Linear combination of components of φ(x) • f is a step function returning sign of input
• Discriminative versus generative approaches
Designing a classifier
Gaussian Data 4 3 2 Feature 2 1 0 -1 -2 -3 -3 -2 -1 0 1 Feature 1 2 3
• Discriminative: Define a decision boundary • Generative: Model the densities of all classes Bayes theorem gives you posteriors
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Linear and quadratic classifiers 1
Bram van Ginneken
Contents
• Expand our repertoire of classifiers:
– Nearest mean classifier (NMC) – Linear discriminant classifier (LDC) – Quadratic discriminant classifier (QDC)
Estimating covariance

Roles as Entity Types A Conceptual Modelling Pattern

Roles as Entity Types A Conceptual Modelling Pattern

Roles as Entity Types:A Conceptual Modelling PatternJordi Cabot and Ruth RaventósUniversitat Politècnica de CatalunyaDept. Llenguatges i Sistemes InformàticsJordi Girona 1-3, 08034 Barcelonaemail: {jcabot,raventos}@lsi.upc.esAbstract: Roles are meant to capture dynamic and temporal aspects of real-world objects. The role concept has been used with many semantic meanings:dynamic class, aspect, perspective, interface or mode. This paper identifiescommon semantics of different role models found in the literature. Moreover, itpresents a conceptual modelling pattern for the role concept that includes boththe static and dynamic aspects of roles. A conceptual modelling pattern isaimed at representing a specific structure of knowledge that appears in differentdomains. In particular, we adapt the pattern to UML. The use of this patterneases the definition of roles in conceptual schemas. In addition, we describe thedesign of schemas defined using our pattern in order to implement them in anyobject-oriented language. We also discuss the advantages of our approach overprevious ones.1. IntroductionAccurate and complete conceptual modelling is an essential premise for a correctdevelopment of an information system. Reusable conceptual schemas facilitate thisdifficult and time-consuming activity. The use of patterns is a key aspect to increasethe reusability in all stages of software development.A pattern identifies a problem and provides the specification of a generic solutionto that problem. The definition of patterns in conceptual modelling may be regardedin two different ways: conceptual modelling patterns and analysis patterns.In this paper, we distinguish between a conceptual modelling pattern that is aimedat representing a specific structure of knowledge encountered in different domains(for instance the MemberOf relationship), and an analysis pattern that specifies ageneric and domain-dependent knowledge required to develop an application forspecific users (for instance a pattern for electronic marketplaces). Authors do notalways make this distinction. For example, to Fowler, in [8], patterns correspond toour conceptual modelling patterns while to Fernandez and Yuan, in [7], patternscorrespond to our definition of analysis patterns. For a further discussion on analysispatterns see Teniente in [29].The goal of this paper is to propose a conceptual modelling pattern for roles. Arole is meant to capture dynamic and temporal aspects of real-world objects. Thereare some dynamic situations from the real world that are not well suited just with the basic modelling language constructs. For example, when we want to model situations where an entity can present different properties depending on the context where it is used.Although definitions of the role concept abound in the literature of conceptual modelling [2][4][5][8][13][24][25] a non-uniform and globally accepted definition is given. Roles are difficult to represent. They are not merely reified names for the participants in events. As we show in section 3, they can neither be represented as subtypes of other entity types even assuming multiple classification and inheritance. Rather, roles have their own characteristics that require them to be specified with a particular language construct in conceptual schemas.We identify common semantics of role models found in the literature and present a pattern that fulfils them. The use of this pattern eases the definition of roles in conceptual schemas. Moreover, we also discuss the design and the implementation of conceptual schemas that use our pattern to facilitate their implementation in object-oriented languages. We adapt the pattern to UML [19]. As far as we know, ours is the first approach that allows the definition of roles by using the standard UML.The rest of this paper is organized as follows: the next section presents the Role Pattern. Section 3 comments related work and compare it with our proposal. Finally, conclusions and further work are presented.2. Roles as entity types PatternIn order to describe the role pattern we adopt the template proposed by Geyer-Schulz and Hahsler in [11] to describe conceptual modelling patterns (called by the authors analysis patterns). They adopt a uniform and consistent format, in contrast to Fowler in [8] who uses a very free format for pattern writing. Geyer-Schulz and Hahsler stress that adhering to a structure for writing patterns is essential since patterns are easier to teach, learn, compare, write and use once the structure has been understood.Their template preserves the typical context/problem/forces/solution structure of design patterns but adapted for the description of conceptual modelling patterns. The template includes the following sections: (1) Pattern Name. (2) Intent: what the pattern does and what problems it addresses. (3) Motivation: a scenario that illustrates the problem and how the pattern contributes to the solution in the specific scenario.(4) Forces and Context that should be resolved by the pattern. (5) Solution: description of all relevant structural and behavioural aspects of the pattern. (6) Consequences: how the pattern achieves its objectives and the existing trade-off. (7) Design and implementation: how the pattern can be realized in the design stage. (8) Known uses: examples of the pattern.Note that, in the same way design patterns include the outline of possible implementations of the pattern [10], our conceptual modelling pattern includes the outline of the design of the pattern.Following this template, next sections present the Roles as entity types Pattern.2.1 IntentThe intent is the representation of roles that entities play through their life span and the control of their evolution.2.2 MotivationThe role concept appears very frequently in conceptual modelling. However, the possibilities that offer conceptual modelling languages to deal with them are very limited and cover only a small part of the role features (see, for example, what UML supports in [6] and [27]).There is not a uniform and globally accepted definition of roles. We illustrate here some of the most relevant ones:• “It is a defined behaviour pattern which may be assumed by entities of different kinds”, Bachman and Daya in [1].• “Role classes capture the temporal and evolutionary aspects of the real-word objects”, Dahchour et al. in [5].• “Roles allow an object to receive and send different messages at different stages of evolution”, Pernici in [24].• “Roles are founded; defined in terms of relationship to other things, and lacks of “semantics rigidity” (something is semantically rigid if its existence is tied to its class)”, Guarino in [13].To summarize the above definitions, we could say that roles are useful to model the properties and behaviour of entities that evolve over time. The entity type Person is an illustrative example. During his or her life, a person may play different roles, for example he or she may become a student, an employee, a project manager, and so forth. Besides this, a person may have different properties and behaviour depending on the role or roles he/she is playing in a certain instant of time.For instance, consider the following scenario: let Maria be a person who starts studying at a University (Maria plays the role of student). After some years of study she registers to a second university degree (Maria plays twice the role of student) and starts to work in a company (Maria plays the role of employee). In that company she may become a project manager (now Maria through her employee role plays the role of project manager). Note that, in this scenario, if we ask for the telephone number of Maria, the answer is not trivial since depending on the role or roles she is playing it may be her personal or her company phone number.Taking into account the complexity of the notion of role and the lack of support for roles in present conceptual modelling languages, it is clear that a pattern to define such a common construct is needed in conceptual modelling.2.3 Forces and ContextOur definition of the role concept is refined by describing the set of features that roles must meet, most of which have been identified by Steinmann [26]. In our case, these features are the forces that influence and should be resolved by the pattern.We describe them using some examples over the scenario introduced above:1. Ownership. A role comes with its own properties [15][5][14][30], i.e., an instanceof Employee has its own properties which may be different than the ones of the entity type that plays such a role.2. Dependency. An instance of a role is related to a unique instance of its entity typeand its existence depends on the entity type to which it is associated to [15][4][5],i.e., it is not possible to have an instance of Student not related to an instance ofPerson.3. Diversity. An entity may play different roles simultaneously [15][5][12][24][14][30][31], i.e., an instance of Person may play simultaneously the roleof Student and Employee.4. Multiplicity. An instance of an entity type may play several instances of the samerole type at the same time [15][5][12][14][24][30][31]. For instance, a person that registers to more than a University have multiple instaces of Student related to it. 5. Dynamicity. An entity may acquire and relinquish roles dynamically [1][15][5][12][14][22], i.e., a person may become a student, after some years become anemployee, finish his/her studies, become a project manager, start another degree and so forth.6. Control. The sequence in which roles may be acquired and relinquished can besubject to restrictions [5][24][30], i.e., a person may not become an employee when he/she is older than 65 years.7. Roles can play roles [15][4][5][30][31]. This mirrors that an instance of Personcan play the role of Employee and an instance of Employee can also play de role of ProjectManager.8. Role identity [30]. Each instance of a role has its own role identifier, which isdifferent from that of all other instances of the entity to which is associated with.This solves the so-called counting problem introduced by Wieringa et al in [30]. It refers to the fact that we need to distinguish the instances of the roles from the instances of the entity types that play them. For example, if we want to count the number of people that are students in a university (i.e. every person who is registered to at least a program in such university), the total number is less than the number of registered students in such university (in this case a person is counted twice if he or she is registered at two programs).9. Adoption. Roles do not inherit from their entity types [15][12]. Instead, instancesof roles have access to some properties of their corresponding entities i.e., Student may adopt name and address properties of Person but neither religion nor marital status properties. Therefore, the Student role cannot use the last two referred properties.2.4 SolutionWe divide the solution of our role pattern in two subsections. The first one deals with the structural aspects of roles while the second one deals with their evolution.2.4.1 Structural Aspects of RolesWe believe there is not a fundamental difference between roles and entity types since roles have their own properties and identity. Therefore, we represent roles as entity types with their own attributes, relationships and generalisation/specialisation hierarchies. For practical reasons we call role entity types (or simply role if the context is clear)the entity types that represent roles and natural entity types1 (or simply entity types) the entity types that may play those roles.We define the relationship between a role entity type and its natural entity type by means of a RoleOf relationship. This special relationship relates a natural entity type with a role entity type to indicate that the natural entity type may play the role represented by the role entity type. In the relationship we also specify the properties (attributes and associations) of the natural entity type that are adopted by the role entity type.Note that, since roles may play other roles, the same entity type may appear as a role entity type in a RoleOf relationship and as a natural entity type in a different RoleOf relationship.Although this representation may be expressed in many conceptual modelling languages, in this work, we only adapt it to UML. In particular, we use UML 2.0 [19] and OCL 2.0 [18] versions.To be able to represent the RoleOf relationship we use the extension mechanisms provided by UML, such as stereotypes, tags and constraints. Stereotypes allow us to define (virtual) new subclasses of metaclasses by adding some additional semantics.A stereotype may also define additional constraints on its base class and add some new properties through the use of tags.The <<RoleOf>> stereotype allows us to define a RoleOf relationship between the natural and role entity types. The base class of the stereotype is the Association metaclass, which represents association relationships among classes. The <<RoleOf>> stereotype also includes the properties2 the role adopts from the natural entity type. They are represented with a multivalued tag, called adoptedProperties. We may pack this stereotype in a new UML Profile [19] for Roles. Figure 1 shows the definition of the <<RoleOf>> stereotype.1 The natural entity type of a role relationship has sometimes been called object class [5][30]¡Error! No se encuentra el origen de la referencia., ObjectWithRoles [12], natural type [13] [26], base class[4], entity type [1], entity class [2], base role [23], or core object [3].2 A property in UML 2.0 [19] represents both the attributes and associations of an entity type.Figure 1. Definition of the RoleOf stereotype.The multiplicity of the role towards its entity type is ‘1’ (since a role can only be related to a single instance of the entity type) and its settability is readOnly (the role instance must always be related to the same instance of the entity type).As an example, figure 2 shows the extended example introduced in section 2.2 specified in UML. The figure illustrates a natural entity type, Person, with its own properties, playing two roles: Student and Employee. The role Student is a generalisation of domestic and foreign students. The role Employee may play also the role of ProjectManager, who manages a set of tasks. Student adopts properties name, phone number and country (represented as attributes) and address (represented as an association) from Person, and Employee adopts the name and the derived age attribute. ProjectManager adopts name, employee number and the contract expiration date from Employee.Note that Employee has its own phone number different from the Person’s phone number, i.e., Employee does not adopt the phone number attribute from Person. Therefore the answer to the question: “which is the phone number of Maria?” will vary depending on whether we are considering Maria as an instance of Person or Employee. The stereotyped operations shown in the figure will be taken up in the following section.To complete the definition of the static aspects of roles we must attach some constraints to the <<RoleOf>> stereotype in order to control the correctness of its use. The constraints are the following:•A stereotyped <<RoleOf>> association is a binary association with multiplicity ‘1’ and settability readOnly in a member end• Each value of the adoptedProperty tag must coincide with the name of a property of the natural entity type.• A role entity type can only be related throughout a RoleOf relationship to at most a natural entity type.• No cycles of roles are permitted; a role entity type may not be related throughout a direct or indirect RoleOf relationship to itself.Adopted properties by the role from its natural entity type may be considered as implicit properties of the role entity type. Nevertheless, in order to facilitate the use of this adopted properties (for instance, when writing OCL expressions) we may need to include them explicitly in the role entity type. In this case, we add an extra property in the role entity type for each adopted property. These extra properties are labeled with the <<adopted>> stereotype to distinguish them from the own properties of the role entity type. In addition, they are derived. Their derivation rule always follows the general form: context RoleEntityType::adoptedPropertyX: Typederive : naturalEntityType.propertyXNote that, to facilitate the work of designers, these added properties can be automatically generated. Figure 3 extends a subset of the previous example illustrating the Student role entity type including its adopted properties. Student student#: Integer <<adopted>>/name: String <<adopted>>/phone#: PhoneNumber <<adopted>>/country: String Personname: String phone#: PhoneNumber birthDate: Date country: String /age: Integer<<RoleOf>>{adoptedProperties = name, address, phone#, country}1 {readOnly}Address street: String number: Integer ZIPcode: String***1 1<<adopted>>context Student::name: Stringderive : context Student::phone#: PhoneNumber derive : person.phone#context Student::country: Stringderive : person.countrycontext Student::address: Addressderive : person.addressFigure 3.Example of the Student role entity type.2.4.2 Role Acquisition and RelinquishmentSo far, we have introduced a representation of the static part of the Roles as entity types Pattern. Nevertheless, this is not enough since role instances may be added or removed dynamically from an entity during its lifecycle and this addition or removal may be subjected to user-defined restrictions.Since roles are represented as entity types we may define constraints on roles in the same way as we define constraints on entity types. Some of the constraints are inherent to our role representation (for example, that a person must play the role of Employee to play the role of ProjectManager , is already enforced by the schema).Other restrictions involved may be expressed by means of the predefined constraints of UML. For example, to restrict that an Employee cannot play more than twice the ProjectManager role simultaneously, it is enough to define a cardinality constraint in the relationship. The definition of the rest of constraints requires the use of a general-purpose language, commonly OCL in the case of UML. For instance, we could specify OCL constraints to control that:• A Person can only play the role of Employee if he/she is between 18 and 65 years old:context Employee inv:self.age>=18 and self.age<=65• Any task of a ProjectManager must finish before his contract expires context Task inv:self.dueDate<self.projectManager.expirationDateThese OCL constraints are static, and thus, the role instances must satisfy them at any time. However, many of the restrictions that may be involved in the evolution of roles only apply at particular times, concretely they only need to be satisfied when the role is acquired or when it is relinquished. To specify such constraints we use the notion of creation-time constraints defined by Olivé in [17] and, in a similar way, we define the deletion-time constraints.Creation-time constraints must hold when the instances of some entity type are created (in our case when the role is created). Deletion-time constraints must hold when the instances of some entity type are deleted (in our case when the role is deleted). These constraints are represented as operations, also called constraint operations, attached to the entity types and identified by a special stereotype. The creation-time constraint operations are marked with the stereotype <<IniIC>>. We define the stereotype <<DelIC>> for the deletion-time constraint operations.These operations return a boolean that must be true to indicate that the constraint is satisfied. If the operation returns false (i.e., the constraint is not satisfied) then the creation or deletion event of the role is not accomplished. When appropriate, the operations are automatically executed by the information system.As an example, we have defined the following restrictions in figure 2:• A person cannot become an employee if he/she is studying two university degrees simultaneously. Note that this does not imply that a person that is already an employee may apply for two degrees.context Employee :: mayBeHired () : Booleanbody: self.person.student->size()<2• An employee may not be fired if he or she is in maternity leave.context Employee :: mayBeFired () : Booleanbody: self.state<>’MaternityLeave’• An employee may not become a new project manager if he/she still holds more than ten pending tasks.context ProjectManager:: notTooManyPendingTasks(): Booleanbody self.employee.projectManager.tasks->select(dueDate>Today)->size()<=102.5 ConsequencesOur pattern of roles achieves the objectives proposed in Section 2.3 since it fulfils the role features outlined before:• Ownership. As roles are represented as entity types, they may have their own properties.• Dependency. The cardinality ‘1’ with the tag {readOnly} ensures that all role instances depend on a unique instance of the natural entity type.• Diversity. As the RoleOf relationship is an association, entity types may have many RoleOf relationships.• Multiplicity. This is obtained by the cardinality at the RoleOf relationship.• Dinamicity. Entities are related to their roles through an association. Thus, an entity may acquire or retract instances of a role many times.• Control. The sequence in which roles may be acquired and relinquished can be subjected to restrictions.• Roles can play roles. Roles are represented by ordinary classes. So, they can be participants of a RoleOf relationship.• Role identity. As roles are represented as entity types, their instances have their own identifier.• Adoption. The adoptedProperty tag of the RoleOf relationship allows the definition of this mechanism.A trade-off that one may find in our representation is that we do not consider that roles cannot be associated to different natural entity types. We consider that this situation may be solved by defining a common supertype for all the natural entity types that play such role. For instance, if we need C lient to be role of both Company and Person (understood as a physical person), we could define a common supertype for Company and Person, called LegalPerson, which plays the role of Client.On the other hand, we do not allow roles to remain unconnected to any entity, as for instance, Employee understood as a vacant position not played by any Person. This approach is commonly used when considering roles just as interfaces. We discuss the limitations of this approach in Section 3.2.6 Design and ImplementationThere are some design patterns useful for designing and implementing roles in object oriented languages [8]. However, most of them are unable to deal with our proposed role semantics completely. A well-known pattern close to our role defined semantics is the Role Object Pattern [3]. This pattern is especially well suited for role implementation when roles are deemed as a specialization (or a kind of specialization) of its entity type (see Pelechano et al. in [23] as an example).Nevertheless, this pattern is not entirely appropriate for designing our conceptual modelling pattern. We encounter two main problems in the Role Object Pattern. First, it uses a common superclass for all the roles of the entity type. In our approach, the roles are independent entity types so they do not need to present any common properties that justify this superclass. Secondly, all the roles are forced to have thesame inherited properties; it is not possible to define different adopted properties for each role.This is the reason why we advocate here for an adapted version of this pattern that it takes into account our complete role semantics, including the adoption mechanism and the creation-time and deletion-time constraints.Given a natural entity type and the set of its roles, we create a class for the natural entity type and a class for each role. We create a different relationship between the natural entity type and each of its roles. This relationship will be used to navigate from the natural entity type to its roles and vice versa. We add to the natural entity type two new operations addRole and deleteRole in charge of adding (deleting) roles to the natural entity after checking the creation-time (deletion-time) constraints. We could also add other useful operations when dealing with roles, such as hasRole or getRole .The problem of the design of the adopted properties may be regarded as the same problem as designing derived information. In general, from a design and/or implementation point of view, there are two different approaches to deal with derived information. The attributes may be computed if they are calculated by means of an operation or may be materialized if they are explicitly stored in the class. In this case, for each adopted property we add an extra operation to the role class that returns the value of the property of the natural entity type. The operation accesses the property of the natural entity type navigating through the relationship.Figure 4 summarizes our proposal. In figure 5 we apply the proposed design pattern to a part of the conceptual schema of figure 2. Note that Employee is both a role for the Person entity type and a natural entity type for the ProjectManager role, and thus, it presents both a reference to Person (as a role entity type) and the operations addRole and deleteRole (as a natural entity type). *NaturalEntityTypeOperationsaddRole()deleteRole()1 * RoleEntityType1 Properties Operations opPropertyAdopted1() … RoleEntityTypeN 1 . . .PropertiesFigure 4. Summarized class diagram of the design.This structure can be directly implemented in any common object-oriented language. As an example, in the Appendix, we show part of the implementation of Person and Employee classes in the Java language.Employee Studentstudent#: Integername()address()phone#()country() ProjectManager name() employee#()expirationDate()Personname: Stringphone#: PhoneNumberbirthDate: Datecountry: String1*0..2 employee#: Integer category: String phone#: PhoneNumber state: String expirationDate: Date name() age() addRole() deleteRole()age()addRole()deleteRole()1 1 * projectName: String startDate: DateFigure 5.Example of an application of the design.2.7 Known UsesThe role concept appears frequently in many different domains of the real world, since in each domain we can find entity types that present some properties that evolve over time.Papazoglou et al. in [22] note that roles can be useful for several type of applications based on the use of object-oriented technology and they describe two examples of broad types of application that need role support: security and workflows . Some more examples are discussed by Jodlowski et al. in [14].3. Related WorkPrevious research can be grouped in four basic approaches to representing roles. We discuss the major drawbacks of each approach according to our role defined semantics. However they may suffice when considering more limited semantics.The first approach represents a role as a label assigned to a participant in an event[19]. This representation does not achieve our objectives because roles come with their own properties different from those of the entity types playing them, which cannot be defined within the label.A second approach considers that roles and entity types can be combined into a single hierarchy [1][4][25]. Role entity types are represented as subtypes of the natural entity type. For instance, if Person were a natural entity type, then Student, Employee and ProjectManager roles would appear as subtypes. Quite obviously, such a solution requires dynamic and multiple classification, since a person can change his/her role and play several roles simultaneously. However we would like to make。

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Acta Mechanica Solida Sinica,Vol.24,No.3,June,2011ISSN0894-9166 Published by AMSS Press,Wuhan,ChinaMODELLING STRAIN-RATE-DEPENDENCY OF NATURAL SOFT CLAYS COMBINED WITHANISOTROPY AND DESTRUCTURATIONZhen-Yu Yin1 Minna Karstunen2(1Department of Civil Engineering,Shanghai Jiao Tong University,Shanghai200240,China) (2Department of Civil Engineering,University of Strathclyde,John Anderson Building,107Rottenrow,Glasgow G40NG,UK)Received16November2009,revision received30October2010ABSTRACT The paper aims to investigate modelling the strain-rate-dependency of natural softclays combined with anisotropy and destructuration using an elasto-viscoplastic model.The modelis based on Perzyna’s overstress theory and the elastoplastic model S-CLAY1S.Tests at constantstrain-rate and creep tests under both one-dimensional and triaxial conditions on several claysare simulated.Simulations highlight the loading scenarios in which it is necessary to account foranisotropy and/or destructuration in order to get accurate parisons between thepredicted and measured results demonstrate that the proposed model can successfully reproducethe time-dependent behaviour of natural soft clays under different loading conditions.KEY WORDS anisotropic materials,creep,debonding,time-dependentI.INTRODUCTIONNatural soft clays exhibit a significant degree of anisotropy developed during their deposition,sed-imentation,consolidation history and any subsequent straining[1–3].Based on experimental studies on natural Otaniemi clay,Wheeler et al.[4]showed that the changes in anisotropy can be linked to plastic straining,and proposed an elastoplastic model S-CLAY1extended from Modified Cam Clay[5],with a rotational hardening law describing the changes in the inclination of the yield surface.The calibration of the parameters for S-CLAY1model is straightforward and the model has been thoroughly validated experimentally by Karstunen and Koskinen[6].In addition to anisotropy,most natural soils also exhibit some apparent bonding.Experimental observations[1,7]show that as natural clays are deformed,the initial apparent bonding is progressively lost,and at large strains,soil starts to behave as a fully reconstituted material.According to Leroueil et al.[8],the process,during which the bonds are progressively destroyed by plastic straining,is referred to as destructuration.Incorporating the concept of an intrinsic yield surface proposed by Gens and Nova[9],Karstunen et al.[10]developed an S-CLAY1S model for structured soils extended from S-CLAY1 model.The initial amount of bonding can be related to the sensitivity of natural clay.Corresponding author.E-mail:zhenyu.yin@The work presented was sponsored by the Academy of Finland(Grants210744and1284594)and the European Community through the program‘People’as part of the Industry-Academia Pathways and Partnerships project GEO-INSTALL(PIAP-GA-2009-230638).Vol.24,No.3Zhen-Yu Yin et al.:Modelling Strain-Rate-Dependency of Natural Soft Clays·217·The fundamental stress-strain-strength behaviour of soft soils is however also strain-rate-dependent. The shear strength of clays from undrained triaxial tests is highly dependent on the applied axial strain-rate,as shown by numerous researchers[11–14].Similar results by Leroueil et al.[15]demonstrate the strain-rate-dependency of the apparent preconsolidation pressure measured from constant strain rate oedometer tests.The strain-rate dependency of soft clays has significant impact on geotechnical engineering practice:the response of geotechnical structures is dependent on the rate of loading,as the fundamental stress-strain-strength behaviour of soils is strain-rate-dependent.As a result,the selection of design parameters should take into account the strain-rate-dependency of deformations and strength. Therefore,a constitutive model taking into account the strain-rate-dependent behaviour,in addition to anisotropy and destructuration,should be recommended.In the literature,numerous constitutive models have been proposed to describe some of these features: for instance,rate-independent models[4,5,10];rate-dependent isotropic models[16–22];rate-dependent anisotropic models[23–26];etc.Kimoto and Oka[24]developed a rate-dependent model accounting for destructuration and inherent anisotropy.However,the induced anisotropy during loading has not been considered.Neglecting one feature may lead to inaccurate predictions of soil response under loading, especially for foundations and embankments on soft sensitive soils.In order to model all these features,an elasto-viscoplastic model based on Perzyna’s overstress theory[27,28]and the S-CLAY1S model[10],has been developed by Yin and Karstunen[20].In works by Yin and Karstunen[29],the development of the model was presented with an application to a hypothet-ical embankment.No validation was carried out in terms of the comparison between simulations and observations.In this paper,the elasto-viscoplastic model is used to investigate modelling the strain-rate-dependency of natural soft clays combined with anisotropy and destructuration at element test-level.First,the development of the model is briefly presented.The calibration of model parameters is discussed.The experimental validation of the model considers strain-rate-controlled oedometer and triaxial tests on several clays.Long-term oedometer tests and undrained triaxial creep tests are also simulated.The simulations highlight the loading scenarios in which it is necessary to account for anisotropy and/or destructuration in order to get accurate predictions.II.CONSTITUTIVE MODEL EVP-SCLAY1S2.1.Model DescriptionThe constitutive model,called EVP-SCLAY1S,accounting for strain-rate-dependency,anisotropy and destructuration of natural soft soils,is based on the overstress theory of Perzyna[27,28]and elasto-plastic model S-CLAY1S[10].According to Perzyna’s overstress theory,the total strain rate is the sum of the elastic strain rates and viscoplastic strain rates.The elastic behaviour in the proposed model is assumed to be isotropic,similarly to the Modified Cam Clay model.The viscoplastic strain rate˙εvpij is assumed to obey an associatedflow rule with respect to the dynamic loading surface following the original proposal by Perzyna:˙εvp ij =μ Φ(F)∂f d∂σp s−·218·ACTA MECHANICA SOLIDA SINICA2011Fig.1.Definition of surfaces in the p -q space.Following the ideas by Wheeler et al.[4],an elliptical surface is adopted as the dynamic loading surface corresponding to the current stress state:f d=32[σM2−32[α(M2−α2)p+3/2(α:α)de 1+c4+(1−c4)sin(3θ)M c,−π6≤3sin3¯J¯3/26w2¯s i3¯s iλ−κVol.24,No.3Zhen-Yu Yin et al.:Modelling Strain-Rate-Dependency of Natural Soft Clays·219·whereλi is the slope of the intrinsic normal compression curve in the e-lnσ v plane for a stress path at a constant stress ratio involving no change of anisotropy(such as isotropic loading of an isotropic sample,or oedometer test on a reconstituted sample,see Fig.2),κis the slope of the swelling-line and e0is the initial void ratio.The rotational hardening law,based on the formulation proposed by Wheeler et al.[4],describes the development or erasure of anisotropy caused by viscoplastic strains.Both volumetric and deviatoric viscoplastic strains influence the rotation of the yield curve.dαd=ω3σd4p−3p−Fig.2.One-dimensional behaviour of intact and reconstituted samples of soft sensitive clays.where the soil constantξcontrols the absolute rate of destructuration andξd controls the relative effect of viscoplastic deviatoric strains in destroying the bonds;χ0is the initial amount of bonding,which relates the sizes of the intrinsic yield surface and static yield surfaces asp m0=(1+χ0)p mi0(8) The numerical implementation of the model EVP-SCLAY1S as a user-defined soil model into the 2D v8PLAXISfinite element code is based on a numerical solution proposed by Katona[32].The basic·220·ACTA MECHANICA SOLIDA SINICA2011finite element scheme for the proposed model is similar to the ones presented by Oka et al.[33]and Rowe and Hinchberger[34].For a coupled consolidation analysis based on Biot’s theory,the relationship of the load increment is given by applying the principle of virtual work to the equilibrium equation as shown by Oka et al.[33].The coupledfinite element equations are well documented by several researchers[33–35], and not repeated here.2.2.Principle of the Elasto-viscoplastic ModelThe principle of EVP-SCLAY1S is illustrated in Fig.3(a).Again for simplicity,the soil is assumed to be initially cross-anisotropic using the definitions in Fig.1.In Fig.3(a),point‘A’represents the initial stress state that is assumed to correspond to the normally consolidated K0state(K0is the lateral earth pressure at rest).Along the stress path of an undrained constant strain-rate shear test,‘A-B’in Fig.3(a),viscoplastic volumetric strains occur during loading and cause the initial intrinsic yield surface to expand in the stress space.The viscoplastic volumetric and deviatoric strains cause changes in the inclination of the yield surfaces and degradation in bonding.The latter may reduce the size of the static yield surface.Supposing that the stress state‘B’approaches the critical state line at‘C’,the size of the intrinsic yield surface becomes constant,given that the increments of the viscoplastic volumetric strains tend to zero.The deviatoric viscoplastic strains cause debonding of soil particles until the intrinsic and static yield surfaces coincide.The critical state for this applied strain-rate is reached.The soil is then subjected to a constant amount of overstress,which provokes an increase in the viscoplastic deviatoric strains at constant strain-rate.All through this process,the yield surfaces rotate tending towards a final orientation of M c/3which was explained and experimentally supported by Wheeler et al.[4].Fig.3.Schematic representation of the behaviour of the EVP-SCLAY1S model in the p -q space.In the case of an undrained creep test,represented by stress path‘A-B-C’in Fig.3(b),the size of the intrinsic yield surface changes with viscoplastic volumetric strains,related to the amount of overstress. The size of the static yield surface is,however,also influenced by destructuration.Therefore,viscosity and destructuration have strong coupling.In the case of a highly structured clay,destructuration will dominate,while for unstructured soils viscosity dominates.Ultimately the static yield surface and the dynamic loading surface coincide,equilibrium is obtained and the strains stabilize with time.If the effective stresses reach the critical state line,there will be naturally no changes in the size of the intrinsic yield surface.The viscoplastic deviatoric strains will continue to increase and rotate the yield surfaces towards their ultimate target orientation.An attractive feature of the proposed model is that it is hierarchical.By giving a sufficiently small viscosity(via assigning suitable values for N andμ)the proposed model converges to the elastoplastic model S-CLAY1S.Similarly,by setting the initial value for bondingχ0to zero,and using an apparent value ofλdetermined from a consolidation test on a natural clay sample,instead of the intrinsic value of λi from a reconstituted clay sample(Fig.3),the proposed model will account for anisotropy and viscosityVol.24,No.3Zhen-Yu Yin et al.:Modelling Strain-Rate-Dependency of Natural Soft Clays·221·only(EVP-SCLAY1).Likewise,if the initial anisotropy(described via scalarα0for cross-anisotropic soils)is set to zero and the anisotropy parameterωis set to zero,the model can reduce to a viscoplastic version of the Modified Cam Clay(MCC)model,denoted as EVP-MCC.If this is combined with a sufficiently small viscosity,the model ultimately reduces to the elastoplastic MCC model.2.3.Evaluation of Model ParametersThe proposed model involves a number of soil constants and state variables which can be divided into four main groups.Thefirst set of parameters are the same as in the MCC model,withλ(slope of the normal compression line)replaced by the intrinsic compressibilityλi,which can be determined for example from a1D consolidation test on a reconstituted sample or from a1D consolidation test on an intact soil sample executed to very high stress levels so that virtually all the bonds have been destroyed.The initial size of the static yield surface can be calculated by Eq.(4)assuming the stress state corresponding to in situ effective stresses,since soils are under these stresses for years.The second set of parameters is related to anisotropy.According to Wheeler et al.[4],the initial anisotropyα0can be calculated from M c by assuming that the initial anisotropy has been created by one-dimensional compression,which implies in the normally consolidated region thatα0=αK0=ηK0−M2c−η2K038(η2+2η−M2)·222·ACTA MECHANICA SOLIDA SINICA 2011Fig.4.The effect of viscosity parameters on vertical preconsolidation stress/undrained shear strength at high strain-rates.Table 1.State parameters and soil constants of EVP-SCLAY1S modelGroup Parameter DefinitionDeterminationInitial size of yield surface Anisotropyparameter ωAbsolute rate of yield surface rotation Typically [10/λi -20/λi ]Calculated from soil sensitivity χ0=S t −l χ0Initial amount of bonding with S t determined e.g.with a fall cone test Destructuration (state parameter)(or from 1D consolidation tests,see Fig.2)parameters From curve fitting of consolidation tests:ξAbsolute rate of bond degradation oedometer test and isotropic consolidation test,ξdRelative rate of bond degradation typically ξ=[8-12]and ξd =[0.2-0.3]ViscosityN Strain-rate coefficient From curve fitting of tests at different strain and destructuration.For each set of tests,the experiments are firstly described followed by discussion on the estimation of model parameters.Simulations are made with model features switched on and off,to explore the relative importance of anisotropy and destructuration on the viscous behaviour as follows:(a)for the case referred to as EVP-MCC,the soil is assumed to be isotropic and only viscosity is considered (with α0=0,ω=0and χ0=0);(b)for the case referred to as EVP-SCLAY1,only viscosity and anisotropy are considered (with χ0=0);(c)for the case referred to as EVP-SCLAY1S,all features are incorporated.In addition,long-term oedometer tests and undrained triaxial creep tests were also simulated to examine the model performance on describing the creep behaviour of soft soils.3.1.Oedometer Tests on Saint-Herblain ClayRangeard [37]conducted a constant strain-rate (CSR)oedometer test on Saint-Herblain clay at two constant strain-rates (d εv /d t )by using an oedometric cell providing horizontal stress in addition to vertical stress [37].The clay properties are as follows:water content 87%,liquid limit w L =90%,plastic limit w P =48%,unit weight γ=14.9kN/m 3.The test was performed at d εv /d t =3.3×10−6s −1until εv reaches 12%,then changed to d εv /d t =6.6×10−7s −1until a vertical strain of 15.5%,and finally changed back to the initial strain-rate.The parameters λi ,κ,e 0in Table 2were determined from the results of oedometer tests on natural samples with χ0=0as the clay is slightly structured [37].The slope of the critical state line in compression (M c )was taken as 1.25from triaxial tests [20].For the simulations with anisotropic versions of the model p m 0=27.4kPa correspond to σ v 0=39kPa,whilst for the simulations assuming isotropy of the soil,Vol.24,No.3Zhen-Yu Yin et al.:Modelling Strain-Rate-Dependency of Natural Soft Clays·223·the value needs to be changed to p m0=35.7kPa(by Eq.(3)withα0=0).Poisson’s ratio was assumed to be0.3.The actual value of parameterωhas no influence on theεv-σ v curve of an oedometer test, because during one-dimensional consolidation no further rotation of the yield surface is expected[4]. The viscosity parameters N andμwere determined from the tests at two strain-rates byfixing Nfirst corresponding to the slope of theσ p-dε/d t curve and adjustingμfor the value ofσ p.Table2.Values of state parameters and soil constants for the clays simulatedParameters p (kPa)eν κλMωχξξNμ(s−1)St-Herblain27.4 2.260.30.0220.41 1.25----72×10−8Fig.5.CSR oedometer tests on Saint-Herblain clays.Experimental data versus simulations.3.2.Oedometer Tests on Batiscan ClayLeroueil et al.[15]presented a set of CSR oedometer tests on Batiscan clay with strain-rates varying between1.7×10−8and4×10−5s−1.The clay properties are as follows:water content80%,liquid limit w L=43%,plastic limit w P=21%,unit weightγ=17.5kN/m3,clay-sized particle content80%.The initial state was taken atσ v0=65kPa,a stress equal to the in situ vertical effective stress at depth of the specimens.The parametersλi,κ,e0andχ0in Table2were determined from the results of oedometer tests on natural samples,withλi=0.41determined at a strain level of20-25%.For the cases in which bonding and destructuration are ignored(χ0=0),the value ofλneeds to correspond to theλ-value of the natural clay(λ=1.64was measured from theεv-logσ v curves corresponding to a vertical strain range 3-9%).The slope M c was taken as0.98,as proposed by Rocchi et al.[19].The value of p m0was taken equal to50kPa corresponding toσ v0=65kPa.Poisson’s ratio was assumed to be0.3.Because results are available for only one stress path,the values ofξandξd were chosen as coupled values via curve fitting.The viscosity parameters N andμwere determined from the tests at two selected strain-rates by curvefitting byfixing Nfirst corresponding to the slope of theσ p-dε/d t curve and then adjusting μfor the value ofσ p.Figure6(a)shows that predictions by models(EVP-SCLAY1and EVP-SCLAY1S)are in good agreement with the experimental data:i.e.,the strain-rate effect on the apparent preconsolidation pressure is correctly represented.For thefinal part of this curve,the predicted preconsolidation pressure converges to a stable value for decreasing strain-rates(dεv/d t<10−9s−1in this case).The dependency·224·ACTA MECHANICA SOLIDA SINICA2011ofσ p on the strain-rate is similar to the strain-rate effect of the undrained shear strength from triaxial shear tests[11,13].Fig.6.CSR oedometer tests on Batiscan clays.Experimental data versus simulations.However,the results in Fig.6(b)show that accounting for destructuration is necessary for getting accurate predictions of the stress-strain behaviour over the whole stress range for such a soft sensitive clay.The parameters determined from strain-rate tests were examined by simulating long-term oedometer tests conducted on the same material by Leroueil et al.[15].The applied vertical stress varies from78to 121kPa.The permeability of soil is taken equal to1×10−9m/s corresponding to the full dissipation of excess pore pressure at t=1×106s for the applied stress levels.Figure7shows a good agreement between the experimental results and the simulations.It is to be noted that,although the model is based on the strain-rate-dependency phenomenon of soils,the creep phenomenon is also revealed.Fig.7.Long-term oedometer tests on Batiscan clays.Experimental data versus simulations.3.3.Undrained Triaxial Tests on Reconstituted Kawasaki ClayCSR triaxial tests with the axial strain-rate varying from0.7to0.007%/min were performed by Nakase and Kamei[12]on reconstituted Kawasaki clays.The clay properties are as follows:liquid limit w L=55.3%,plastic limit w P=25.9%,specific gravity G s=2.69,clay-sized particle content22.3%. The specimens were consolidated under the K0-consolidation until the vertical effective consolidationpressure of392kPa,and then subjected to undrained shearing in compression and extension.The tests were simulated fully including the consolidation stage(assuming one week for the whole consolidation stage).The values of parametersλi,κand e0were given by Kamei and Sakajo[38].The slope M c=1.64was obtained from triaxial tests.The value of p m0was assumed equal to one third of the preconsolidation pressure since the tests were performed on reconstituted samples and the fullVol.24,No.3Zhen-Yu Yin et al.:Modelling Strain-Rate-Dependency of Natural Soft Clays·225·consolidation stage was simulated.χ0=0was given as any initial bonding is considered to be destroyed during remoulding.The parameterωwas taken equal to77,obtained fromfitting the triaxial tests in extension.The viscosity parameters N andμwere determined considering two selected strain-rates. The values of the parameters are summarized in Table2.Figure8shows the comparison between the predicted and measured results.Both isotropic and anisotropic models well capture the compression behaviour.However,for extension tests,the model accounting for anisotropy(EVP-SCLAY1)improves the match in terms of the stress-strain and effective stress paths curves compared with the isotropic version of the model(EVP-MCC).The comparison demonstrates that even for reconstituted clays,it is important to consider the induced anisotropy due to K0-consolidation and subsequent loading in combination with strain-rate-dependency.Fig.8.Undrained triaxial tests at constant strain-rate on reconstituted Kawasaki clays.Experimental data versus simu-lations.3.4.Undrained Triaxial Tests on Haney ClayVaid and Campanella[11]conducted undrained triaxial tests at constant strain-rate varying from 0.0001to10%/min on undisturbed Haney clay.The clay properties are as follows:plastic limit w P=26%, liquid limit w L=44%,the preconsolidation pressure of340kPa and a sensitivity S t from6-10.All triaxial tests considered were conducted by initially consolidating the samples under an effective isotropic confining pressure of515kPa for36hours,and then allowing them to stand for12hours under undrained conditions before starting the shearing part of the test.Two triaxial tests at constant strain-rates were selected to calibrate parameters.The values of parameters forκ,λi,e0andν provided by Vermeer and Neher[17]were used.M c=1.28was estimated from triaxial tests.ωwas calculated fromλi(ω=15/λi)as suggested by Zentar et al.[39].The initial bonding amountχ0was determined from sensitivity byχ0=S t−1.The parametersξandξd were chosen as coupled values via curvefitting.The viscosity parameters N andμwere chosen from tests at two levels of constant strain-rate.Noting that the soil anisotropy can be modified during the isotropic consolidation stage,and the preconsolidation pressure depends on not only the applied maximum consolidation stress but also the duration of consolidation stage,p s m=410kPa andα=0were estimated at the end of the consolidation stage.Model parameters are summarized in Table2.Figure9(a)shows good performance of both models(EVP-SCLAY1and EVP-SCLAY1S)on simu-lating the effect of strain-rate on the undrained shear strength(maximal deviatoric stress q max for each strain-rate)in two phases:for the tests with small strain rates,the shear strength converges to a con-stant stress value representing the long-term strength of the material,while for tests with middle-level strain rates,the strain-rate effect can be represented by a linear relationship between the shear strength and the strain-rate in log scales.This predicted two-phase phenomenon agrees with the experimental observations.However,in Fig.9(b)simulations marked by EVP-SCLAY1,which have not considered destructura-tion,are unable to capture the strain softening phenomena for isotropically consolidated samples of soft sensitive clays.Fig.9.Undrained triaxial tests at constant strain-rate on Haney clays.Experimental data versus simulations.Fig.10.Undrained triaxial creep tests on Haney clasy.Experimental data versus simulations.The parameters determined from strain-rate tests were examined by simulating undrained triaxial creep tests conducted on the same material with the same procedure of the consolidation stage as tests at a constant strain-rate[11].The applied deviatoric stress q varies from193to329kPa(See Fig.10). The applied deviatoric stress q varies from193to329kPa.Although some discrepancies were found between predicted and measured results which is possibly due to the variation of natural samples for structured clays,the model accounting for destructuration well captured the undrained creep behaviour of soft sensitive clays in terms of strain and strain rate evolutions versus time:for low applied stress levels,only the primary creep stage(defined by a continuous decrease of the strain rate)occurs,while for higher applied stress levels,a tertiary creep stage(defined by an increase of the strain rate)can be seen after a short duration of a secondary creep stage(defined by a constant strain rate).The model performance in predicting the tertiary creep stage is due to the incorporation of soil destructuration (predictions by EVP-SCLAY1vs.predictions by EVP-SCLAY1S):for higher applied stress levels,if the effective stress reaches the critical state line,there will be no change in the size of the intrinsic yield surface;the viscoplastic deviatoric strain will continue to increase and cause a reduction in the size of the static yield surface towards the intrinsic yield surface,which in turn increases the amount of overstress p d m/p s m.As a result,it is possible to reproduce the so-called tertiary creep stage.Therefore, the models explained one possible reason of the tertiary creep:the destructuration of soft sensitive clays.3.5.Multistage Constant Strain-rate Triaxial Tests on Hong Kong Marine DepositThe triaxial compression and extension tests performed on Hong Kong marine deposit were presented by Zhou et al.[25]and Yin and Cheng[14].The clay properties are as follows:water content54.3%,liquid limit w L=57%,plastic limit w P=25%,unit weightγ=16.5kN/m3,clay-sized particle content30%. All the specimens taken from a depth of10m at a location near Tsing Yi Island werefirst saturated by standard increments of cell pressure up to205kPa and back pressure up to200kPa.After that,eachspecimen wasfirst consolidated under K0-condition with a vertical stress-rate of2.5kPa per hour,i.e., axially compressed with approximately zero radial strain with afinal effective confining pressure from50 to400kPa.Thefinal consolidation stresses were then held constant for24hours.After K0-consolidation, the cell pressure was held constant,and the specimens were sheared up to failure with step-changes in strain-rates,including unloading and reloading loops,either in compression or extension with strain rates varying from0.2to20%/h.The values for parametersλi,κand e0were determined from the results of oedometer tests on reconstituted samples[18,25].The initial amount of bondingχ0was measured from the consolidation stage of triaxial tests,as presented in Fig.11(a)using test E400.The slope M c was measured as1.24, and M e=0.94.The value of p m0was taken equal to46kPa corresponding to the in situ condition of samples.The coupled values forξandξd were determined by curvefitting the consolidation stage of test E400(at stress-rate of2.5kPa/h,see Fig.11(b)).The value of parameterωwas estimated via curve fitting of triaxial tests E400in extension.The viscosity parameters N andμwere determined from C400 (or E400alternatively)considering three different constant strain-rates(Fig.12).The selected values of model parameters,summarized in Table2,were used to predict triaxial tests C150and E150.Fig.11.Consolidation stage for triaxial test E400on Hong Kong marine deposit.Fig.12.Undrained triaxial tests C400/E400on Hong Kong marine deposit.Simulations by EVP-SCLAY1S versus exper-imental data for the calibration of parameters.Comparison between the measured results and the predicted ones was carried out for an undrained triaxial test in compression(C150)and in extension(E150).In Figs.13and14,results of3simulations are shown:EVP-MCC,EVP-SCLAY1and EVP-SCLAY1S considering axial strainεa vs.deviator stress, effective stress path in the triaxial parison between the prediction by anisotropic model EVP-。

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