Mesh motion in fluid-structure interaction with deep operator networks
Fuente:
arXiv
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| Main Author: | |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916112254369792 |
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| author | Hellan, Ottar |
| author_facet | Hellan, Ottar |
| contents | A mesh motion model based on deep operator networks is presented. The model is trained on and evaluated against a biharmonic mesh motion model on a fluid-structure interaction benchmark problem and further evaluated in a setting where biharmonic mesh motion fails. The performance of the proposed mesh motion model is comparable to the biharmonic mesh motion on the test problems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_00774 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Mesh motion in fluid-structure interaction with deep operator networks Hellan, Ottar Numerical Analysis Machine Learning A mesh motion model based on deep operator networks is presented. The model is trained on and evaluated against a biharmonic mesh motion model on a fluid-structure interaction benchmark problem and further evaluated in a setting where biharmonic mesh motion fails. The performance of the proposed mesh motion model is comparable to the biharmonic mesh motion on the test problems. |
| title | Mesh motion in fluid-structure interaction with deep operator networks |
| topic | Numerical Analysis Machine Learning |
| url | https://arxiv.org/abs/2402.00774 |