Fathi, F., Oakley, J.E. orcid.org/0000-0002-9860-4093 and de Borst, R. (2024) An extended isogeometric collocation method for fracture analysis. International Journal for Numerical Methods in Engineering, 125 (16). e7507. ISSN 0029-5981
Abstract
A collocation method is developed for discrete fracture models in the context of the partition-of-unity method. Spline technologies used in isogeometric analysis (IGA) are exploited to provide a smooth inter-element transition of gradients, thus allowing to get rid of extra flux terms at element boundaries which are generated by Lagrange polynomials. Bézier extraction is utilised to formulate IGA commensurate with a standard finite element data-structure. The efficacy of the proposed approach is examined through different numerical examples and is compared with other discrete methods for fracture analysis. The proposed approach is competitive in terms of accuracy with the least computational cost, rendering it a suitable candidate for superseding available collocation approaches for fracture simulation. Moreover, the approach naturally assesses the possibility of physics informed neural networks for fracture simulation, to which collocation is central.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 The Authors. International Journal for Numerical Methods in Engineering published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/4.0/) which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Collocation method; Partition of unity; Galerkin method; Extended isogeometric analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 24 Apr 2024 11:19 |
Last Modified: | 08 Nov 2024 17:18 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/nme.7507 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:211665 |