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An Elasto-plastic Analysis of a DP600 Bi-Failure Specimen: Digital Image Correlation, Finite Element and Meshless Methods

Title
An Elasto-plastic Analysis of a DP600 Bi-Failure Specimen: Digital Image Correlation, Finite Element and Meshless Methods
Type
Article in International Conference Proceedings Book
Year
2017-01-01
Authors
B.V. Farahani
(Author)
Other
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P.J. Tavares
(Author)
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P.M.G.P. Moreira
(Author)
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Conference proceedings International
Pages: 1237-1244
2nd International Conference on Structural Integrity (ICSI)
Funchal, PORTUGAL, SEP 04-07, 2017
Other information
Authenticus ID: P-00N-FT3
Abstract (EN): An elasto-plastic study of a bi-failure specimen made of DP600 steel under tensile loading state is proposed in this work. As an experimental study, Digital Image Correlation (DIC) technique is used to measure the reaction force response as a function of the acquired displacement field. In addition, the strain and the stress variation on the specimen surface is also captured. The geometrical and material characteristics used to construct the numerical model are in agreement with the experimental specimen. To access the performance of the numerical techniques, the elasto-plastic problem is therefore solved with two advanced discretization formulations, Finite Element Method (FEM) and Radial Point Interpolation Meshless Method (RPIM), to obtain comparable numerical results. Numerically, the adopted elasto-plastic plane stress formulation relies on von-Mises yield criteria based on a return mapping algorithm. An iterative process of pseudo-time stepping scheme is applied and incremental displacement steps are enforced. This study uses the Newton-Raphson non-linear solution algorithm to achieve the non-linear solution. The obtained numerical results, such as force/displacement variation and effective plastic strain, are validated with the experimental DIC solution showing that the supporting computational methodology is valid and accurate. (C) 2017 The Authors. Published by Elsevier B.V.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 8
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