A Parallel Computing Schema Based on IGA

被引：2
|
作者：
Deng, Jinggang [1 ,2 ]
Zuo, Bingquan [1 ,2 ]
Luo, Huixin [1 ,2 ]
Xie, Weikang [1 ,2 ]
Yang, Jiashu [1 ,2 ]
机构：
[1] Wuhan Univ Sci & Technol, Key Lab Met Equipment & Control Technol, Minist Educ, Wuhan 430081, Peoples R China
[2] Wuhan Univ Sci & Technol, Hubei Key Lab Mech Transmiss & Mfg Engn, Wuhan 430081, Peoples R China
来源：
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2022年 / 132卷 / 03期
关键词：
Isogeometric analysis; parallel; Gaussian integration; middle layer; ISOGEOMETRIC ANALYSIS; GAUSSIAN QUADRATURE; POLYNOMIAL SPLINES; FINITE-ELEMENTS; ALGORITHM; RULES; INTEGRATION; EFFICIENT; NURBS;
D O I：
10.32604/cmes.2022.020631
中图分类号：
T [工业技术];
学科分类号：
08 ;
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.
引用
收藏
页码：965 / 990
页数：26
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