A New LES Pool Fire Simulation Tool

R. Rawat, J. Spinti, Wing Yee, Philip J. Smith
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Abstract

In a large-scale pool fire simulation, the processes that must be modeled are complex and coupled. The flow is often highly turbulent, dynamic vortical structures are present, the chemical reactions involve several thousand elementary steps and hundreds of species/intermediates, and radiation, the dominant mode of heat transfer, is strongly affected by the presence of soot. The range of length and time scales associated with all these processes cannot be simulated on even the most powerful supercomputers available today. Our approach to making this intractable problem tractable has been twofold: one, to improve the models used at all levels in the simulation (i.e., transport models and subgrid scale models) and two, to parallelize the simulation tool to run on massively parallel machines. We have employed Large Eddy Simulation (LES) to model the fluid dynamics and the convection-diffusion scalar transport. LES successfully captures the transient nature of the coherent vortical structures present in a pool fire. We have integrated these improved models into a computational framework that provides support for parallelization. Preliminary validation results show the capability of the fire simulation tool to capture the puffing nature of pool fires. In addition, scalability studies of the simulation tool reveal close to linear scalability up to 500 processors.
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一个新的LES池火灾模拟工具
在大规模池火模拟中,必须建模的过程是复杂且耦合的。流动通常是高度湍流的,存在动态涡结构,化学反应涉及数千个基本步骤和数百种物质/中间体,辐射作为主要的传热方式受到烟灰的强烈影响。与所有这些过程相关的长度范围和时间尺度,即使是当今最强大的超级计算机也无法模拟。为了使这个棘手的问题易于处理,我们采取了两种方法:一是改进仿真中各级使用的模型(即传输模型和子网格比例模型);二是将仿真工具并行化,以便在大规模并行机器上运行。我们采用大涡模拟(LES)对流体动力学和对流扩散标量输运进行了模拟。LES成功地捕获了池火中存在的相干旋涡结构的瞬态性质。我们已经将这些改进的模型集成到一个提供并行化支持的计算框架中。初步验证结果表明,火灾模拟工具能够捕捉池火的雾化特性。此外,仿真工具的可扩展性研究表明,高达500个处理器的可扩展性接近线性。
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