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The Reliability Analysis for Slop Stability by Parallel Stochastic FEM

机译:平行随机FEM的边坡稳定性可靠性分析

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A parallel stochastic FEM algorithm based on PC cluster was designed by combining Monte-Carlo Stochastic(MCS)algorithm and domain decomposed parallel finite element method, first generate a random field as a sample by MCS, then exert the virtues of parallel FEM huge computing capacity, fast computing speed, conquered the long time consuming disadvantage of Monte-Carlo method. Developed the parallel computing program using C++ and MPI, then analyzed the reliability of a slop with 1000 stochastic samples, results validated the robust and efficiency of this algorithm.
机译:通过组合Monte-Carlo随机(MCS)算法和域分解并行有限元方法来设计一种基于PC集群的并行随机FEM算法,首先通过MCS将随机字段产生随机字段,然后施加平行FEM巨额计算能力的美德,快速计算速度,征服了Monte-Carlo方法的长时间消耗缺点。使用C ++和MPI开发了并行计算程序,然后分析了具有1000个随机样本的斜坡的可靠性,结果验证了该算法的鲁棒和效率。

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