文章基本信息

标题：Simulation of Fire with a Gas Kinetic Scheme on Distributed GPGPU Architectures
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作者：Stephan Lenz ; Martin Geier ; Manfred Krafczyk 等
期刊名称：Computation
电子版ISSN：2079-3197
出版年度：2020
卷号：8
期号：2
页码：50-78
DOI：10.3390/computation8020050
出版社：MDPI Publishing
摘要：The simulation of fire is a challenging task due to its occurrence on multiple space-time scales and the non-linear interaction of multiple physical processes. Current state-of-the-art software such as the Fire Dynamics Simulator (FDS) implements most of the required physics, yet a significant drawback of this implementation is its limited scalability on modern massively parallel hardware. The current paper presents a massively parallel implementation of a Gas Kinetic Scheme (GKS) on General Purpose Graphics Processing Units (GPGPUs) as a potential alternative modeling and simulation approach. The implementation is validated for turbulent natural convection against experimental data. Subsequently, it is validated for two simulations of fire plumes, including a small-scale table top setup and a fire on the scale of a few meters. We show that the present GKS achieves comparable accuracy to the results obtained by FDS. Yet, due to the parallel efficiency on dedicated hardware, our GKS implementation delivers a reduction of wall-clock times of more than an order of magnitude. This paper demonstrates the potential of explicit local schemes in massively parallel environments for the simulation of fire.
关键词：gas kinetic scheme; fire simulation; GPGPU gas kinetic scheme ; fire simulation ; GPGPU