首页> 外文期刊>Journal of Nondestructive Evaluation >Cavity/Inclusion Detection in Plane Linear Elastic Bodies Using Linear Sampling Method
【24h】

Cavity/Inclusion Detection in Plane Linear Elastic Bodies Using Linear Sampling Method

机译:使用线性采样方法检测平面线性弹性体中的空腔/夹杂物

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, solution of inverse problems in elas-tostatic fields is investigated. For this purpose, we propose a qualitative inverse approach based on linear sampling method (LSM) for cavity/inclusion detection in a two-dimensional (2D) isotropic linear elastic body using measurement of data on the boundary. The LSM is an effective approach to image the geometrical features of unknown targets. Although the LSM has been used in the context of inverse scattering problems such as acoustics, and electro-magnetism, there is no specific attempt to apply this method for identification of cavities/inclusions in inverse elastostatic problems. This study emphasizes the implementation of the LSM coupled with the finite element method (FEM). A set of numerical simulations on 2D elastostatic problems is presented to highlight many effective features of the proposed LSM fast qualitative identification method.
机译:本文研究了弹性静力场中反问题的解。为此,我们提出了一种基于线性采样方法(LSM)的定性逆方法,用于使用边界数据的测量来测量二维(2D)各向同性线性弹性体中的空腔/夹杂物。 LSM是对未知目标的几何特征成像的有效方法。尽管LSM已用于反散射问题(例如声学和电磁学)的背景下,但没有进行任何具体尝试将这种方法用于识别反弹性静力学问题中的孔洞/夹杂物。这项研究强调了LSM与有限元方法(FEM)结合的实现。提出了一系列关于二维弹力问题的数值模拟,以突出提出的LSM快速定性识别方法的许多有效特征。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号