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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Parallel domain decomposition approach for large-scale three-dimensional boundary-element models in linear and nonlinear heat conduction
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Parallel domain decomposition approach for large-scale three-dimensional boundary-element models in linear and nonlinear heat conduction

机译:线性和非线性热传导中大规模三维边界元模型的并行域分解方法

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摘要

The boundary-element method (BEM) requires only a surface mesh to solve linear and nonlinear heat conduction problems, but the resulting matrix is fully populated. This poses serious challenges for large-scale three-dimensional problems due to storage requirements and iterative solution of a large set of nonsymmetric equations. In this article, we develop a domain decomposition, or artificial subsectioning technique, along with a region-by-region iteration algorithm particularly tailored for parallel computation to address these issues. A coarse-surface grid solution coupled with an efficient physically based procedure provides an effective initial guess for a fine-surface grid model. The process converges very efficiently, offering substantial savings in memory. The iterative domain decomposition technique is ideally suited for parallel computation. We discuss its implementation on a modest Windows XP Pentium P4 PC cluster running under MPI with MPI2 extensions. Results from three-dimensional BEM heat conduction models including models of upwards of 85,000 nodes arising form an intricate film-cooled vane. We demonstrate that the BEM can readily be applied to solve large-scale linear and nonlinear heat conduction problems and that such solutions can be readily undertaken on modest PC clusters. [References: 22]
机译:边界元方法(BEM)仅需要一个表面网格即可解决线性和非线性导热问题,但是生成的矩阵已完全填充。由于存储需求和大量非对称方程的迭代解,这对大规模的三维问题提出了严峻的挑战。在本文中,我们开发了一种域分解或人工分段技术,以及专为并行计算量身定制的逐区域迭代算法,以解决这些问题。粗糙表面网格解决方案结合有效的基于物理的过程为精细表面网格模型提供了有效的初始猜测。该过程非常有效地收敛,从而节省了大量内存。迭代域分解技术非常适合并行计算。我们讨论了在带有MPI2扩展名的MPI下运行的适度Windows XP Pentium P4 PC群集上的实现。三维BEM导热模型的结果包括一个复杂的薄膜冷却叶片,包括多达85,000个节点的模型。我们证明了BEM可以很容易地应用于解决大规模的线性和非线性导热问题,并且这种解决方案可以很容易地在适度的PC机群上进行。 [参考:22]

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