基于扩展有限元概念的二维弹性连续体多重裂纹检测反问题技术

IF 1.1 4区 工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY
P. Broumand
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引用次数: 4

摘要

基于扩展有限元的思想,提出了两种有效的二维弹性体多裂纹检测方法。将检测网格分配给有裂纹的主体,并在节点处测量响应。使用具有相同网格的有限元模型来表示实体的未破裂状态。在第一种方法中,称为基于残差的裂纹检测(CDRE),基于未裂纹体刚度矩阵和裂纹体响应来计算残差范数。误差范数的轮廓将显示裂纹模式;该方法在计算上是有效的。在第二种方法中,被称为基于刚度残差的裂纹检测(CDSR),基于裂纹体和未裂纹体的刚度矩阵之间的差异来找到裂纹位置。通过求解一个基于改进的Tikhonov正则化的动力学逆问题,得到了裂纹体的刚度矩阵。通过CDRE方法预测裂纹模式,提高了识别方法的效率和准确性。给出了几个例子,以表明在高噪声水平的情况下,这些方法的准确性和稳健性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inverse problem techniques for multiple crack detection in 2D elastic continua based on extended finite element concepts
Two efficient methods are presented to detect multiple cracks in 2D elastic bodies, based on the insights from Extended Finite Element. Adetection mesh is assigned to the cracked body and the responses are measured at the nodes. A finite element model with the same mesh is used to represent the uncracked state of the physical body. In the first method which is called Crack Detection based on Residual Error (CDRE), the residual error norm is calculated based on the uncracked body stiffness matrix and the cracked body responses. The contour of the error norm would show the crack pattern; the method is computationally efficient. In the second method that is coined as Crack Detection based on Stiffness Residual (CDSR), the crack locations are found based on the difference between the stiffness matrix of the cracked body and the uncracked body. The stiffness matrix of the cracked body is found by solving a dynamic inverse problem based on a modified Tikhonov regularization. The efficiency and accuracy of the identification method are enhanced by predicting the crack pattern by the CDRE method. Several examples are presented to show the accuracy and robustness of the methods in the presence of high noise levels.
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来源期刊
Inverse Problems in Science and Engineering
Inverse Problems in Science and Engineering 工程技术-工程:综合
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: Inverse Problems in Science and Engineering provides an international forum for the discussion of conceptual ideas and methods for the practical solution of applied inverse problems. The Journal aims to address the needs of practising engineers, mathematicians and researchers and to serve as a focal point for the quick communication of ideas. Papers must provide several non-trivial examples of practical applications. Multidisciplinary applied papers are particularly welcome. Topics include: -Shape design: determination of shape, size and location of domains (shape identification or optimization in acoustics, aerodynamics, electromagnets, etc; detection of voids and cracks). -Material properties: determination of physical properties of media. -Boundary values/initial values: identification of the proper boundary conditions and/or initial conditions (tomographic problems involving X-rays, ultrasonics, optics, thermal sources etc; determination of thermal, stress/strain, electromagnetic, fluid flow etc. boundary conditions on inaccessible boundaries; determination of initial chemical composition, etc.). -Forces and sources: determination of the unknown external forces or inputs acting on a domain (structural dynamic modification and reconstruction) and internal concentrated and distributed sources/sinks (sources of heat, noise, electromagnetic radiation, etc.). -Governing equations: inference of analytic forms of partial and/or integral equations governing the variation of measured field quantities.
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