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A distributed memory parallel element-by-element scheme based on Jacobi-conditioned conjugate gradient for 3D finite element analysis

机译:基于Jacobi条件共轭梯度的3D有限元分析的分布式内存逐元素方案

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For FEM solution of complex hydraulic structures, a parallel method is usually needed to deal with a large amount of numerical computation. The article introduces an algorithm based on the element-by-element (EBE) scheme of the FEM and Jacobi pre-conditioning conjugate gradient method, including the EBE computation algorithm for boundary conditions and all kinds of loads. Furthermore, based on the concepts of "boundary node" and "local internal node", a new data exchange technology is developed that realizes the collection and transmission of data and makes it suitable for EBE method to be implemented on distributed memory parallel computers. This algorithm does not generate global stiffness matrix and only stores element stiffness matrices. With this algorithm, a 3D finite element parallel computation program, PFEM, is developed and implemented on a network cluster system to perform 3D finite element computations of an arch dam-foundation system and a large-scale underground tunnel. The results showed that the memory demand of this algorithm is less than that of conventional FEM and the calculation time could be decreased. It works very well for large-scale numerical computation of 3D complex structures like arch dam and underground tunnel.
机译:对于复杂水工结构的有限元解决方案,通常需要并行方法来处理大量的数值计算。本文介绍了一种基于FEM的逐元素(EBE)方案和Jacobi预处理共轭梯度法的算法,包括针对边界条件和各种载荷的EBE计算算法。此外,基于“边界节点”和“本地内部节点”的概念,开发了一种新的数据交换技术,该技术实现了数据的收集和传输,使其适合于在分布式内存并行计算机上实现的EBE方法。该算法不生成全局刚度矩阵,而仅存储单元刚度矩阵。利用该算法,开发了3D有限元并行计算程序PFEM并在网络集群系统上实现,以执行拱坝基础系统和大型地下隧道的3D有限元计算。结果表明,该算法的内存需求小于常规有限元算法,可以减少计算时间。它对于拱坝和地下隧道等3D复杂结构的大规模数值计算非常有效。

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