The generalized finite difference method for the inverse Cauchy problem in two-dimensional isotropic linear elasticity. (10th November 2019)

• Record Type: Journal Article
• Authors: Li, Po-Wei; Fu, Zhuo-Jia; Gu, Yan; Song, Lina
• Is Part Of: International journal of solids and structures. Volume 174/175(2019)
• Page Start: 69
• Page End: 84
• Publication Date: 2019-11-10
• Subjects: Meshless method -- Generalized finite difference method -- Inverse Cauchy problem -- Linear elasticity; Mechanics, Applied -- Periodicals; Structural analysis (Engineering) -- Periodicals; Elastic solids -- Periodicals; Mécanique appliquée -- Périodiques; Constructions, Théorie des -- Périodiques; Solides élastiques -- Périodiques; Elastic solids; Mechanics, Applied; Structural analysis (Engineering); Periodicals; 624.18
• DOI: 10.1016/j.ijsolstr.2019.06.001
• Languages: English
• ISSNs: 0020-7683

Abstract

Abstract: In this study, the generalized finite difference method (GFDM) was used to stably and accurately solve two-dimensional (2D) inverse Cauchy problems in linear elasticity by using the Navier equations. In Cauchy problems, overdetermined boundary conditions are imposed on parts of the boundary, whereas there are missing boundary conditions on some parts of the boundary. In Cauchy problems, conventional numerical methods generally generate highly ill-conditioned matrices and thus provide unstable numerical solutions. Moreover, even if a slight noise is added in the boundary conditions, numerical errors are evidently magnified. The GFDM, one of the most promising meshless methods and an extension of the classical finite difference method, can avoid time-consuming tasks of mesh generation and numerical quadrature. The GFDM was applied in this study to stably solve the 2D Cauchy problems in linear elasticity and four numerical examples are provided to illustrate the consistency and accuracy of the presented meshless numerical scheme. Moreover, the stability of the presented scheme for inverse Cauchy problems was proved by adding noise into the boundary conditions.