A framework of fire evolution simulation for expressway

It is important to quickly and accurately determine the evolution of the fire when a fire breaks out on expressway. Current fire simulation can calculate fine-grained fire evolution parameters. However, fire simulation is a systematic work, which should consider the dynamic impact of the environment and rescue measures on the fire, and the dynamic evolution of human exposure to fire. In this work, we integrate environmental models, fire-resistant models, and human damage models into a fire simulation framework, aiming to describe the evolutionary state of multiple elements in a fire. The resulting framework consists of three layers, a parameters initialization layer, a model loading or parameters calculation layer and a real-time output and visualization layer. The simulation results demonstrate the power of the framework to include the coupling evolution of fire and weather, the reverse evolution of fire, and the evolution of damage caused by human exposure to fire. The framework can simulate expressway fires under multi-element coupling and rescue measures, which helps rescuers make correct decisions in fire rescue. The code of this study is available on the website: https://github.com/dtGaoP/fire_evolution.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1117/12.3054497
Primary Topic
Evacuation and Crowd Dynamics
Type
article
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article

A framework of fire evolution simulation for expressway

Peng Gao, zhu sun, pengcheng xiang, nuotong lei et al.
Evacuation and Crowd Dynamics
article

A framework of fire evolution simulation for expressway

Peng Gao, zhu sun, pengcheng xiang, nuotong lei, zhiming fu, linwei li
article en

Abstract

It is important to quickly and accurately determine the evolution of the fire when a fire breaks out on expressway. Current fire simulation can calculate fine-grained fire evolution parameters. However, fire simulation is a systematic work, which should consider the dynamic impact of the environment and rescue measures on the fire, and the dynamic evolution of human exposure to fire. In this work, we integrate environmental models, fire-resistant models, and human damage models into a fire simulation framework, aiming to describe the evolutionary state of multiple elements in a fire. The resulting framework consists of three layers, a parameters initialization layer, a model loading or parameters calculation layer and a real-time output and visualization layer. The simulation results demonstrate the power of the framework to include the coupling evolution of fire and weather, the reverse evolution of fire, and the evolution of damage caused by human exposure to fire. The framework can simulate expressway fires under multi-element coupling and rescue measures, which helps rescuers make correct decisions in fire rescue. The code of this study is available on the website: https://github.com/dtGaoP/fire_evolution.

Chang'an University (CN), CCCC Highway Consultants (China) (CN)
Sustainable cities and communities
Openalex Percentile: Top 68%
Evacuation and Crowd Dynamics
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A framework of fire evolution simulation for expressway — Peng Gao, zhu sun, et al. · (2024) | TGRS Research Map | TGRS