人员疏散软件对比

import of data from fire models and effect on the occupants’ movement
Random parameters
Import
The Lantueno tunnel
13
high way
Emergency tunne
Each bore two lanes
The evaluation of different evacuation models for assessing road tunnel safety analysis
汇报人：刘畅 指导老师： 林鹏
院系专业：地学学院
Brief description
2
Key words: Evacuation models, Human behaviour in fire Road tunnel fire ,Emergency scenarios
Matters
Factors
Movement method Occupant load Fire scenarios Human behaviour
Identify
Limitations Compare assumptions Safety coefficients
2. Material and methods
walking speed pre-evacuation time
Scenarios A1
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No natural light
analysis Use of a single model
experimental literature extrapolate for other analyses
Evacuation models
6
Categories
Physical characteristics Human behavior-related processes
STEPS
12
the path to the exit is calculated through a grid The movement is calculated through a potential map
Agent-based model
Movement
allow to implement certain random parameters
●Human factor ●Evacuation models ●Evacuation scenarios
This part presents studies on the impact of certain variables.
Human factors
8
Social interaction emotional states Experience culture background
The model gives as results the position, the velocity, and the dose of toxic gases of each human.
Pathfinder
11
Based on the calculation of the means of the capacity
Agent based modelling
Something that perceives and acts
Flow based modelling
occupant density is modelled
as a continuous
flow
FDS+Evac
10
Partial Behaviour
FDS+Evacis a partial behaviour model that combines an agent-based model and a Computational Fluid Dynamics (CFDs) model
The response time of the occupants of the other zones (zones 2–10) was calculated considering the time needed by the first occupants (from zone 1) to reach different areas with a speed of 1.25 m/s.
Side walks
Evacuation Scenarios
14
Case A: An accident has occurred in the center of the tube obstructing the emergency tunnel.
Case B: An accident has occurred near the entrance of the tube.
of the considered
environment Occupants are represented as circles moving inside a
continuous 2D surface
represented by adjacent triangles steering system
2. Standard dimensions of the vehicles are: 4.5 m * 2m (cars) and10 m * 2 m (trucks). The distance between vehicles is 1 m.
3. The following occupant load is considered: 2.5–5 occupants/cars and 1–2 occupants/trucks. The assumed percentage of trucks is 10% of the total number of vehicles.
Evacuation Scenarios
16
Investigate different scenarios with different occupant load
analyse the influence of fire by varying the values of Heat Release Rate
length 670m
Lantueno tunnel
Its length is 18 m Its width is 2.8 m
unidirect ional
Two bore
It is located 390 m from the north ent rance and it is signpost ed in each tube by an illuminated panel
Consider the incapacitation caused by CO production. Kerosene reactant
Scenarios A4:fire conditions-detection time interaction
FDS can automatically assign a specific response time depending on the smoke spread.
Internal:
Knowledge Fire-related conditions Familiarity Visibility
Influence of fire
Social interactions
Behaviour of others Established groups Emerging groups
separate agent FDS+Evac
FDS+Evac treats each occupant as a separate agent, using stochastic properties for assigning their main characteristics: walking speed and response times
Scenarios A2
Summary of the inputs, probability distributions have been considered for the parameters
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Assumptions
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1.The evacuation is modelled considering the moment at which the vehicles are stationary, ueuing behind the vehicles involved in the accident.
Contents
1 2
Introduction
Material and methods
3 4
Results and Discussion
Conclusions
1. Introduction
●tunnel fires ●specific characteristics ●evacuation models
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