Leveraging Python tensor contraction packages for evaluating finite element weak forms

Q3 Engineering
R. Cimrman
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引用次数: 0

Abstract

: A new implementation of finite element matrix evaluation functions in the finite element code SfePy is introduced, leveraging several Python tensor contraction packages that implement a general function for evaluating expressions given using the Einstein summation convention. An example of the new weak form implementation is shown, and then results of a numerical study are presented comparing performance of the new implementation, the original implementation, and FEniCS suite.
利用Python张量收缩包来计算有限元弱形式
:在有限元代码SfePy中引入了有限元矩阵计算函数的新实现,利用几个Python张量收缩包实现了一个通用函数,用于计算使用爱因斯坦求和约定给出的表达式。给出了一个新的弱形式实现的实例,然后给出了一个数值研究的结果,比较了新实现、原始实现和FEniCS套件的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Gong Cheng Li Xue/Engineering Mechanics
Gong Cheng Li Xue/Engineering Mechanics Engineering-Mechanical Engineering
CiteScore
2.80
自引率
0.00%
发文量
10549
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