Material interface modeling by the enriched RKPM with stabilized nodal integration
Computational Particle Mechanics Volume 10
Page 1733-1757
published_at 2023-04-13
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Title ( eng ) |
Material interface modeling by the enriched RKPM with stabilized nodal integration
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Creator |
Nguyen Huy-Anh
Bui Tinh-Quoc
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Source Title |
Computational Particle Mechanics
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Volume | 10 |
Start Page | 1733 |
End Page | 1757 |
Abstract |
In this paper, an enriched reproducing kernel particle method combined with stabilized conforming nodal integration (SCNI) is proposed to tackle material interface problems. Regarding the domain integration, the use of SCNI offers an effective NI technique and eliminates the zero-energy modes which occurs to direct NI. To model material interfaces, the method enriches the approximation by adding special functions constructed based on the level set function to represent weak discontinuities. Numerical examples with simple and complicated geometries of interface problems in two-dimensional linear elasticity are presented to test the performance of the proposed method, and results show that it considerably reduces strain oscillations and yields optimal convergence rates.
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Keywords |
Meshfree method
Nodal integration
Material interface
Enrichment
Assumed strain
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Descriptions |
Huy Anh Nguyen is gratefully acknowledged the support of this work by Japanese Government (MEXT) scholarship for his Doctoral Program.
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Language |
eng
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Resource Type | journal article |
Publisher |
Springer
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Date of Issued | 2023-04-13 |
Rights |
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s40571-023-00585-y
This is not the published version. Please cite only the published version.
この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。
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Publish Type | Accepted Manuscript |
Access Rights | open access |
Source Identifier |
[DOI] https://doi.org/10.1007/s40571-023-00585-y
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