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Massively-parallelized reciprocal monte-carlo ray tracing for radiative transfer coupled with turbulent LES combustion simulations

机译:用于辐射转移的大型平行互易蒙特射线跟踪与湍流燃烧模拟相结合

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摘要

Radiation is the dominant mode of heat transfer in high temperature combustion environments. Radiative heat transfer affects the gas and particle phases, including all the associated combustion chemistry. The radiative properties are in turn affected by the turbulent flow field. This bi-directional coupling of radiation turbulence interactions poses a major challenge in creating parallel-capable, high-fidelity combustion simulations. In this work, a new model is developed in which a reciprocal monte-carlo radiation model is coupled with a turbulent large eddy simulation combustion model. An asynchronous, multi-level mesh is implemented. The combustion model runs in parallel on the fine level of a decomposed domain. The radiation model runs asynchronously in parallel on the coarse level of a recomposed domain. The recomposed domain is stored on each processor after information sharing of the decomposed domain is handled via the message-passing interface. A strong scaling analysis was performed on the Titan supercomputer cluster. The model demonstrates strong scaling to over 16,000 processing cores.
机译:辐射是高温燃烧环境中的热传递的主导模式。辐射热传递影响气体和颗粒相,包括所有相关的燃烧化学。辐射性能又受到湍流场的影响。辐射湍流相互作用的这种双向耦合在创建平行能力的高保真燃烧模拟方面构成了主要挑战。在这项工作中,开发了一种新模型,其中互易蒙特卡罗辐射模型与湍流大涡模拟燃烧模型相结合。实现异步,多级网格。燃烧模型在分解结构域的细水平上并行运行。辐射模型在重新分量域的粗级别并行运行。经由消息传递接口处理分解域的信息共享之后,重新编分域存储在每个处理器上。在Titan SuperComputer集群上进行了强大的缩放分析。该模型展示了强大的缩放到超过16,000多个加工核心。

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