刚性冲床接触积分方程的解析和数值求解方法

IF 3.1 3区 计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
N. Antoni
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引用次数: 0

摘要

本文研究了弹性半平面表面上的刚性冲头问题。在第一个例子中,我们注意到标准的无摩擦硬接触情况,即接触压力在接触端无界时,具有柯西核控制奇异积分方程的解析解。在此基础上,证明了接触正则化的结果是一个柯西核奇异积分微分方程。后一种情况导致接触两端的接触压力有界,即使在线弹性框架中也是如此,这对“峰值”现象的存在非常感兴趣。然而,与前者相反,这种接触正则化需要数值处理。为此,本文提出了一种基于数值积分与中心有限差分格式相结合的新的简单而有效的数值计算方法,并在文章的最后通过两个例子进行了数值说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analytical and numerical methods for the solution to the rigid punch contact integral equations
In this article, the problem of a rigid punch pressed onto the surface of an elastic half-plane is studied. In a first instance, it is reminded that the standard frictionless hard contact situation, where the contact pressure is unbounded at contact ends, exhibits an analytical solution to the governing singular integral equation with Cauchy kernel. Thereafter, it is shown that the situation of contact regularization results in a singular integro-differential equation with Cauchy kernel. This latter case leads to bounded contact pressures at both contact ends, even in the frame of linear elasticity, which is of great interest in the presence of “peaking” phenomenon. However, this contact regularization requires a numerical treatment as opposed to the former. To that end, a novel simple but efficient numerical procedure, based on numerical integration in conjunction with a centered finite differences scheme, is presented and numerically illustrated through two examples at the end of the paper.
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来源期刊
Journal of Computational Science
Journal of Computational Science COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-COMPUTER SCIENCE, THEORY & METHODS
CiteScore
5.50
自引率
3.00%
发文量
227
审稿时长
41 days
期刊介绍: Computational Science is a rapidly growing multi- and interdisciplinary field that uses advanced computing and data analysis to understand and solve complex problems. It has reached a level of predictive capability that now firmly complements the traditional pillars of experimentation and theory. The recent advances in experimental techniques such as detectors, on-line sensor networks and high-resolution imaging techniques, have opened up new windows into physical and biological processes at many levels of detail. The resulting data explosion allows for detailed data driven modeling and simulation. This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: • Modeling, Algorithms and Simulations (e.g. numerical and non-numerical, discrete and continuous); • Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems; • Computer and information science that develops and optimizes the advanced system hardware, software, networking, and data management components (e.g. problem solving environments).
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