A discrete sine–cosine based method for the elasticity of heterogeneous materials with arbitrary boundary conditions

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Joseph Paux , Léo Morin , Lionel Gélébart , Abdoul Magid Amadou Sanoko
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引用次数: 0

Abstract

The aim of this article is to extend Moulinec and Suquet (1998)’s FFT-based method for heterogeneous elasticity to non-periodic Dirichlet/Neumann boundary conditions. The method is based on a decomposition of the displacement into a known term verifying the boundary conditions and a fluctuation term, with no contribution on the boundary, and described by appropriate sine–cosine series. A modified auxiliary problem involving a polarization tensor is solved within a Galerkin-based method, using an approximation space spanned by sine–cosine series. The elementary integrals emerging from the weak formulation of the equilibrium are approximated by discrete sine–cosine transforms, which makes the method relying on the numerical complexity of Fourier transforms. The method is finally assessed in several problems including kinematic uniform, static uniform and arbitrary Dirichlet/Neumann boundary conditions.
基于离散正弦余弦的任意边界条件异质材料弹性方法
本文旨在将 Moulinec 和 Suquet(1998 年)基于 FFT 的异质弹性方法扩展到非周期性 Dirichlet/Neumann 边界条件。该方法的基础是将位移分解为验证边界条件的已知项和波动项,波动项在边界上没有贡献,由适当的正余弦级数描述。在基于 Galerkin 的方法中,使用正余弦级数跨越的近似空间解决了涉及极化张量的修正辅助问题。通过离散正余弦变换近似地处理了弱平衡公式中出现的基本积分,从而使该方法依赖于傅里叶变换的数值复杂性。最后,在几个问题中对该方法进行了评估,包括运动均匀、静态均匀和任意 Dirichlet/Neumann 边界条件。
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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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