A Parallel Computing Schema Based on IGA

作者:Deng, Jinggang; Zuo, Bingquan*; Luo, Huixin; Xie, Weikang; Yang, Jiashu
来源:CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, 2022, 132(3): 965-990.
DOI:10.32604/cmes.2022.020631

摘要

In this paper, a new computation scheme based on parallelization is proposed for Isogeometric analysis. The parallel computing is introduced to the whole progress of Isogeometric analysis. Firstly, with the help of the ???tensorproduct??? and ???iso-parametric??? feature, all the Gaussian integral points in particular element can be mapped to a global matrix using a transformation matrix that varies from element. Then the derivatives of Gauss integral points are computed in parallel, the results of which can be stored in a global matrix. And a middle layer is constructed to assemble the final stiffness matrices in parallel. The numerical example results show that: the method presented in the paper can reduce calculation time and improve the use rate of computing resources.