线性弹性的任意阶无参数、无锁定富集伽勒金方法

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
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引用次数: 0

摘要

我们提出了一种无参数、无锁定的任意阶丰富 Galerkin 方法,用于解决二维和三维空间的线性弹性问题。我们的方法使用一个近似空间,用一些不连续的片断多项式丰富了 k 阶的矢量连续 Galerkin 空间。据我们所知,它首次将 Yi 等人(2022 年)中的无锁富集 Galerkin 空间扩展到了高阶。与连续 Galerkin 方法相比,所提出的方法是无锁定的,每个元素只增加了 kd-1 个自由度。我们方法的无参数特性是通过将丰富的 Galerkin 空间集成到改进的弱 Galerkin 方法框架中实现的。我们严格确定了该方法的拟合性,并提供了可压缩情况下的最佳误差估计。大量数值实例证实了所提方法的准确性和无锁定特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A parameter-free and locking-free enriched Galerkin method of arbitrary order for linear elasticity

We propose a parameter-free and locking-free enriched Galerkin method of arbitrary order for solving the linear elasticity problem in both two and three space dimensions. Our method uses an approximation space that enriches the vector-valued continuous Galerkin space of order k with some discontinuous piecewise polynomials. To the best of our knowledge, it extends the locking-free enriched Galerkin space in Yi et al. (2022) to high orders for the first time. Compared to the continuous Galerkin method, the proposed method is locking-free with only kd1 additional degree of freedom on each element. The parameter-free property of our method is realized by integrating the enriched Galerkin space into the framework of the modified weak Galerkin method. We rigorously establish the well-posedness of the method and provide optimal error estimates for the compressible case. Extensive numerical examples confirm both the accuracy and the locking-free property of the proposed method.

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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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