摘要
Abstract
In the face of increasingly complex engineering problems, we cannot completely solve these problems through finite element method(FEM) on a single machine, but we can consider using emerging cloud computing technology.In this paper, we design an appropriate data structure of truss element and propose a parallel algorithm of linear finite element method based on MapReduce framework, including assembling global stiffness matrix and conjugate gradient (CG) method for solving linear equation groups.On the six-node Hadoop experimental cluster, numerical verification is carried out through large-scale spatial truss structures.The results show that it is simple and easy to solve large-scale spatial truss structures by using the proposed algorithm.At the stage of assembling global stiffness matrix, as the size of the mesh model and the number of cluster's nodes increase, the computing performance becomes better.However, at the stage of solving equation groups, the computing performance is not ideal and should be improved in the future.关键词
云计算/Hadoop/MapReduce/线性有限元/空间桁架/并行计算Key words
Cloud computing/Hadoop MapReduce/Linear finite element/Spatial truss/Parallel computing分类
信息技术与安全科学
