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Multiple crack detection in 3D using a stable XFEM and global optimization

A numerical scheme is proposed for the detection of multiple cracks in three dimensional (3D) structures. The scheme is based on a variant of the extended finite element method (XFEM) and a hybrid optimizer solution. The proposed XFEM variant is particularly well-suited for the simulation of 3D frac...

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Detalles Bibliográficos
Autores principales: Agathos, Konstantinos, Chatzi, Eleni, Bordas, Stéphane P. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132880/
https://www.ncbi.nlm.nih.gov/pubmed/30220758
http://dx.doi.org/10.1007/s00466-017-1532-y
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author Agathos, Konstantinos
Chatzi, Eleni
Bordas, Stéphane P. A.
author_facet Agathos, Konstantinos
Chatzi, Eleni
Bordas, Stéphane P. A.
author_sort Agathos, Konstantinos
collection PubMed
description A numerical scheme is proposed for the detection of multiple cracks in three dimensional (3D) structures. The scheme is based on a variant of the extended finite element method (XFEM) and a hybrid optimizer solution. The proposed XFEM variant is particularly well-suited for the simulation of 3D fracture problems, and as such serves as an efficient solution to the so-called forward problem. A set of heuristic optimization algorithms are recombined into a multiscale optimization scheme. The introduced approach proves effective in tackling the complex inverse problem involved, where identification of multiple flaws is sought on the basis of sparse measurements collected near the structural boundary. The potential of the scheme is demonstrated through a set of numerical case studies of varying complexity.
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spelling pubmed-61328802018-09-13 Multiple crack detection in 3D using a stable XFEM and global optimization Agathos, Konstantinos Chatzi, Eleni Bordas, Stéphane P. A. Comput Mech Original Paper A numerical scheme is proposed for the detection of multiple cracks in three dimensional (3D) structures. The scheme is based on a variant of the extended finite element method (XFEM) and a hybrid optimizer solution. The proposed XFEM variant is particularly well-suited for the simulation of 3D fracture problems, and as such serves as an efficient solution to the so-called forward problem. A set of heuristic optimization algorithms are recombined into a multiscale optimization scheme. The introduced approach proves effective in tackling the complex inverse problem involved, where identification of multiple flaws is sought on the basis of sparse measurements collected near the structural boundary. The potential of the scheme is demonstrated through a set of numerical case studies of varying complexity. Springer Berlin Heidelberg 2018-02-19 2018 /pmc/articles/PMC6132880/ /pubmed/30220758 http://dx.doi.org/10.1007/s00466-017-1532-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
Agathos, Konstantinos
Chatzi, Eleni
Bordas, Stéphane P. A.
Multiple crack detection in 3D using a stable XFEM and global optimization
title Multiple crack detection in 3D using a stable XFEM and global optimization
title_full Multiple crack detection in 3D using a stable XFEM and global optimization
title_fullStr Multiple crack detection in 3D using a stable XFEM and global optimization
title_full_unstemmed Multiple crack detection in 3D using a stable XFEM and global optimization
title_short Multiple crack detection in 3D using a stable XFEM and global optimization
title_sort multiple crack detection in 3d using a stable xfem and global optimization
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132880/
https://www.ncbi.nlm.nih.gov/pubmed/30220758
http://dx.doi.org/10.1007/s00466-017-1532-y
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