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首页> 外文期刊>International Journal for Numerical Methods in Engineering >IN- AND OUT-OF-CORE BEM EQUATION SOLVER WITH PARALLEL AND NON-LINEAR OPTIONS
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IN- AND OUT-OF-CORE BEM EQUATION SOLVER WITH PARALLEL AND NON-LINEAR OPTIONS

机译:具有并行和非线性选项的核内和核外BEM方程求解器

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摘要

An algorithm for solving large BEM equation sets arising when using the substructuring option is described. The solver is based on a frontal solution philosophy. This feature along with a special ordering scheme for the unknowns minimizes the effect of the fill-in. The condensation of unknowns is carried out in two loops running over all substructures. Within the first loop all unknowns associated with nodes at the external surface of the body are eliminated. The remaining interfacial unknowns are condensed within the second loop. The software has a built-in mechanism of recognizing whether the given step of condensation of unknowns can be carried out in-core or out-of-core. This limits the usage of slow direct access files to the necessary minimum. The implemented multiple right-hand side option makes the solver suitable for non-linear applications. Examples of such applications in non-linear heat transfer problems and plasticity are discussed. A parallelized version of the solver uses the parallel virtual machine (PVM) software and is portable to many computer systems. The parallelization is based on a concept following the block solver philosophy. The parallel solver might be run on computer clusters consisting of processors of different power. A special load equivalencing algorithm has been developed to assign proper task to computers of different power. The solver has been run in an industrial environment to solve problems of about 100 thousand unknowns. Numerical examples are included.
机译:描述了求解使用子结构选项时出现的大型BEM方程组的算法。该求解器基于正面求解原理。此功能以及针对未知数的特殊排序方案可最大程度地减少填充的影响。未知数的汇总在所有子结构上运行的两个循环中进行。在第一循环内,消除了与体外表面节点相关的所有未知数。剩余的界面未知数在第二个循环中被压缩。该软件具有内置机制,可以识别给定的未知数凝聚步骤可以在核内还是核外进行。这将慢速直接访问文件的使用限制到必要的最低限度。已实现的多个右侧选项使求解器适合于非线性应用。讨论了在非线性传热问题和可塑性中此类应用的示例。求解器的并行版本使用并行虚拟机(PVM)软件,并且可移植到许多计算机系统。并行化基于遵循块求解器原理的概念。并行求解器可能在由不同功率的处理器组成的计算机集群上运行。已经开发了一种特殊的负载均衡算法,以将适当的任务分配给不同功率的计算机。该求解器已在工业环境中运行,以解决大约10万个未知数的问题。包括数值示例。

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