能量边界元法在二维弹动力软散射问题中的应用

IF 0.3 Q4 MATHEMATICS
A. Aimi, L. Desiderio, M. Diligenti, C. Guardasoni
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引用次数: 9

摘要

本文从最近发展的与标量波传播问题相关的边界积分方程的能量时空弱公式出发,首次关注上述波传播分析的二维弹性动力扩展。特别地,我们考虑了具有消失初始和Dirichlet边界条件的开弧弹性动力学散射问题,并在具有可用解析解的基准问题的数值结果的基础上评估了所提出方法的效率和准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Energetic BEM to 2D Elastodynamic Soft Scattering Problems
Abstract Starting from a recently developed energetic space-time weak formulation of the Boundary Integral Equations related to scalar wave propagation problems, in this paper we focus for the first time on the 2D elastodynamic extension of the above wave propagation analysis. In particular, we consider elastodynamic scattering problems by open arcs, with vanishing initial and Dirichlet boundary conditions and we assess the efficiency and accuracy of the proposed method, on the basis of numerical results obtained for benchmark problems having available analytical solution.
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来源期刊
CiteScore
1.30
自引率
0.00%
发文量
3
审稿时长
16 weeks
期刊介绍: Communications in Applied and Industrial Mathematics (CAIM) is one of the official journals of the Italian Society for Applied and Industrial Mathematics (SIMAI). Providing immediate open access to original, unpublished high quality contributions, CAIM is devoted to timely report on ongoing original research work, new interdisciplinary subjects, and new developments. The journal focuses on the applications of mathematics to the solution of problems in industry, technology, environment, cultural heritage, and natural sciences, with a special emphasis on new and interesting mathematical ideas relevant to these fields of application . Encouraging novel cross-disciplinary approaches to mathematical research, CAIM aims to provide an ideal platform for scientists who cooperate in different fields including pure and applied mathematics, computer science, engineering, physics, chemistry, biology, medicine and to link scientist with professionals active in industry, research centres, academia or in the public sector. Coverage includes research articles describing new analytical or numerical methods, descriptions of modelling approaches, simulations for more accurate predictions or experimental observations of complex phenomena, verification/validation of numerical and experimental methods; invited or submitted reviews and perspectives concerning mathematical techniques in relation to applications, and and fields in which new problems have arisen for which mathematical models and techniques are not yet available.
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