声弹相互作用问题的自适应有限元 DtN 方法

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED
Lei Lin, Junliang Lv, Shuxin Li
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引用次数: 0

摘要

考虑浸没在均质可压缩空气/流体中的有界、可穿透和各向同性弹性固体对时谐入射波的散射。通过 Dirichlet 到 Neumann(DtN)算子,引入了精确的透明边界条件,并将模型表述为声弹性相互作用的边界值问题。基于对偶论证技术,得出了使用截断 DtN 边界算子的有限元方法的后验误差估计值。后验误差估计由有限元近似误差和 DtN 边界算子的截断误差组成,后者与截断参数呈指数衰减。为解决声弹相互作用问题提出了一种自适应有限元算法,其中截断参数通过截断误差确定,局部细化的网格元素通过有限元离散误差选择。数值实验证明了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An adaptive finite element DtN method for the acoustic-elastic interaction problem

Consider the scattering of a time-harmonic acoustic incident wave by a bounded, penetrable and isotropic elastic solid, which is immersed in a homogeneous compressible air/fluid. By the Dirichlet-to-Neumann (DtN) operator, an exact transparent boundary condition is introduced and the model is formulated as a boundary value problem of acoustic-elastic interaction. Based on a duality argument technique, an a posteriori error estimate is derived for the finite element method with the truncated DtN boundary operator. The a posteriori error estimate consists of the finite element approximation error and the truncation error of the DtN boundary operator, where the latter decays exponentially with respect to the truncation parameter. An adaptive finite element algorithm is proposed for solving the acoustic-elastic interaction problem, where the truncation parameter is determined through the truncation error and the mesh elements for local refinements are chosen through the finite element discretization error. Numerical experiments are presented to demonstrate the effectiveness of the proposed method.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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