A refined simulation method of building earthquake evacuation processes considering multi-exits and time-variant velocities

Yinghao Duan, Chenyun Li, Jun He
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Abstract

This study proposes a refined method for effectively simulating the evacuation processes of multi-story buildings during earthquakes. The method is developed by combining the exit-option algorithm and multi-velocity field model with the previously developed probabilistic network-based floor-field cellular automaton (PN-FFCA) model. Besides, the formula is also proposed for calculating the time-variant moving velocities of evacuees in the buildings subjected to the earthquake loads. Consequently, the refined method can fully consider the effect of multi-exits and time-variant velocities on the random evacuation processes of multi-story buildings during earthquakes. The recorded evacuation process of a school classroom during the 2022 Luding earthquake in China is reproduced using the refined method, which verifies its validity. In addition, the evacuation processes of an actual three-story office building subjected to random earthquake loads are simulated using the refined method. The simulated results are compared with those obtained from the PN-FFCA to demonstrate the advantages and utility of the refined method.
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考虑到多出口和时变速度的建筑地震疏散过程精细模拟方法
本研究提出了一种有效模拟地震时多层建筑疏散过程的改进方法。该方法是通过将出口选择算法和多速度场模型与之前开发的基于概率网络的楼层场蜂窝自动机(PN-FCA)模型相结合而开发的。此外,还提出了计算地震荷载作用下建筑物内疏散人员时变移动速度的公式。因此,改进后的方法可以充分考虑地震时多层建筑的多出口和时变速度对随机疏散过程的影响。利用改进方法再现了中国 2022 年泸定地震中一所学校教室的疏散过程,验证了该方法的有效性。此外,还使用改进方法模拟了实际三层办公楼在随机地震荷载作用下的疏散过程。模拟结果与 PN-FFCA 得出的结果进行了比较,以证明细化方法的优势和实用性。
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