An Inverse Boundary-Type Meshfree Method for Identification of 2D Elastic Properties of Anisotropic Solids

Author:

Hematiyan M.R.1,Khosravifard A.1,Mohammadi M.2,Shiah Yui-Chuin3ORCID

Affiliation:

1. Shiraz University

2. Islamic Azad University Shiraz

3. National Cheng Kung University

Abstract

Abstract There are six elastic constants for an anisotropic body in plane strain/stress conditions. In the inverse problem of this study, it is assumed that the elastic constants of an anisotropic body are unknown, while the displacements or strains at several sampling points of the body under static loading are provided. For the first time, a boundary-type meshfree method, i.e. the method of fundamental solutions, is used for solving the problem, where the sensitivity analysis is performed by direct differentiation of the discretized equations. For that, the closed-form relations for sensitivity of the displacements/strains with respect to the elastic constants are analytically derived. Using a numerical study, it is shown that the proposed sensitivity analysis is much more advantageous compared to traditional finite difference approximation. A simple method for proper selection of initial guesses is also proposed. Two different example problems under plane strain and plane stress conditions are provided to investigate the accuracy of the proposed inverse method. Moreover, the effects of the number of measurement data, the measurement error, and the configuration of sampling points on the solution of the inverse problem are studied. It is observed that the solutions are more accurate in the cases where the sampling points are located at different parts of the body.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3