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Parallel simulation of radiative heat transfer using an unstructured finite-volume method

机译:非结构化有限体积法并行模拟辐射传热

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摘要

A spatial domain-based parallel algorithm is developed for simulating radiative heat transfer in a distributed computing environment. The radiative transfer equation is solved using an unstructured finite-volume method that is applicable for any 2D planar, axisymmetric, and 3D problems with structured, unstructured, or hybrid grids. The domain decomposition is carried out by equally partitioning the spatial domain into many subdomains along the longer geometric dimension. Communication among the subdomains on each processor is performed through a message-passing interface library. In order to examine the parallel performance of the unstructured radiation code, two benchmark problems are investigated for different absorption coefficients, scattering coefficients, and grid sizes in a parallel computer. To help us understand the change of parallel performance, a new parameter, the total inner iteration number, is introduced to analyze the results. For all the cases examined, as expected, the parallel performance is seen to degrade rapidly with an increase of the processor number. However, in contrast with other studies, the parallel performance is found to degrade with an increase of absorption coefficient for a temperature-prescribed problem. Also, the global iteration number is found to be not necessarily independent of the grid size.
机译:开发了一种基于空间域的并行算法,用于模拟分布式计算环境中的辐射传热。使用非结构化有限体积方法求解辐射传递方程,该方法适用于结构化,非结构化或混合网格的任何2D平面,轴对称和3D问题。区域分解是通过沿较长的几何尺寸将空间区域平均划分为许多子区域来进行的。每个处理器的子域之间的通信通过消息传递接口库执行。为了检查非结构化辐射代码的并行性能,在并行计算机中针对不同的吸收系数,散射系数和网格大小研究了两个基准问题。为了帮助我们理解并行性能的变化,引入了一个新参数,即内部迭代总数,以分析结果。对于所有检查的情况,正如预期的那样,随着处理器数量的增加,并行性能会迅速下降。但是,与其他研究相反,对于温度规定的问题,并行性能会随着吸收系数的增加而降低。同样,发现全局迭代次数不一定与网格大小无关。

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