arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1709.07786physics.soc-phcs.NAmath.NA
收藏

环境知识在涉及火灾和烟雾的疏散场景中的影响——一种多尺度建模与模拟方法

The effect of environment knowledge in evacuation scenarios involving fire and smoke - a multiscale modelling and simulation approach

Karlstad University(卡尔斯特德大学);Eindhoven University of Technology(埃因霍温理工大学)

Omar Richardson, Andrei Jalba, Adrian Muntean

AI总结:

本文研究了在火灾和缓慢扩散的烟雾存在下,人群疏散动力学的影响,通过多尺度建模与模拟方法探讨环境知识对疏散者行为和停留时间的影响。

摘要:

我们研究了在复杂几何结构中存在火灾及缓慢扩散的烟雾时,人群疏散动力学的行为。人群由两种个体组成:了解建筑布局的个体和依赖潜在知情邻居寻找出口路径的个体。我们的目标是捕捉环境知识对疏散者与火灾和演变烟雾相互作用的影响。我们的方法是真正的多尺度方法——我们采用一种双尺度模型,能够区分可压缩和不可压缩的行人流模式,并允许微观和宏观的行人动力学。模拟展示了模型的预期定性行为。我们最后讨论了混合不同知识水平的疏散者对重要疏散方面的影响。

英文摘要:

We study the evacuation dynamics of a crowd evacuating from a complex geometry in the presence of a fire as well as of a slowly spreading smoke curtain. The crowd is composed of two kinds of individuals: those who know the layout of the building, and those who do not and rely exclusively on potentially informed neighbors to identify a path towards the exit. We aim to capture the effect the knowledge of the environment has on the interaction between evacuees and their residence time in the presence of fire and evolving smoke. Our approach is genuinely multiscale - we employ a two-scale model that is able to distinguish between compressible and incompressible pedestrian flow regimes and allows for micro and macro pedestrian dynamics. Simulations illustrate the expected qualitative behavior of the model. We finish with observations on how mixing evacuees with different levels of knowledge impacts important evacuation aspects.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑