Higher-order multiscale finite element method for linear elasticity equations with oscillating coefficients

IF 2.4 2区 数学 Q1 MATHEMATICS, APPLIED
Yanfang Yang, Lu Xiao
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引用次数: 0

Abstract

In this paper, we study higher-order Multiscale Finite Element Method (MsFEM) to solve linear elasticity equations with oscillating coefficients. Compared to the Finite Element Method (FEM), MsFEM can obtain the characteristics of fine scale in coarse mesh by using carefully designed multiscale basis functions. By using higher-order basis functions, better accuracy can be achieved. To further improve accuracy, several techniques are considered: oversampling methods and oscillatory boundary conditions (OBCs) are used to prevent the influence of boundary conditions on the construction of multiscale basis functions; the Petrov-Galerkin method, with the trial functions being multiscale basis functions and the test functions being polynomial functions. Numerical examples are presented to demonstrate the efficiency of the proposed methods.
具有振荡系数的线性弹性方程的高阶多尺度有限元法
本文研究了用高阶多尺度有限元法求解具有振荡系数的线性弹性方程。与有限元法(FEM)相比,MsFEM通过精心设计多尺度基函数,可以在粗网格中获得细尺度特征。采用高阶基函数可以获得更好的精度。为了进一步提高精度,考虑了几种技术:使用过采样方法和振荡边界条件(OBCs)来防止边界条件对多尺度基函数构造的影响;Petrov-Galerkin方法,试函数为多尺度基函数,试函数为多项式函数。数值算例验证了所提方法的有效性。
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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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