Paper
20 December 2024 A framework of fire evolution simulation for expressway
Peng Gao, Zhu Sun, Pengcheng Xiang, Nuotong Lei, Zhiming Fu, Linwei Li
Author Affiliations +
Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134213A (2024) https://doi.org/10.1117/12.3054497
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China
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.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Peng Gao, Zhu Sun, Pengcheng Xiang, Nuotong Lei, Zhiming Fu, and Linwei Li "A framework of fire evolution simulation for expressway", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134213A (20 December 2024); https://doi.org/10.1117/12.3054497
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KEYWORDS
Fire

Computer simulations

Carbon monoxide

Visualization

Visibility

Visual process modeling

Reverse modeling

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