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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2308.16332 |
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| _version_ | 1866916188160786432 |
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| author | Berger, Marsha Giuliani, Andrew |
| author_facet | Berger, Marsha Giuliani, Andrew |
| contents | We propose a practical finite volume method on cut cells using state redistribution. Our algorithm is provably monotone, total variation diminishing, and GKS stable in many situations, and shuts off continuously as the cut cell size approaches a target value. Our analysis reveals why original state redistribution works so well: it results in a monotone scheme for most configurations, though at times subject to a slightly smaller CFL condition. Our analysis also explains why a pre-merging step is beneficial. We show computational experiments in two and three dimensions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_16332 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A new provably stable weighted state redistribution algorithm Berger, Marsha Giuliani, Andrew Numerical Analysis We propose a practical finite volume method on cut cells using state redistribution. Our algorithm is provably monotone, total variation diminishing, and GKS stable in many situations, and shuts off continuously as the cut cell size approaches a target value. Our analysis reveals why original state redistribution works so well: it results in a monotone scheme for most configurations, though at times subject to a slightly smaller CFL condition. Our analysis also explains why a pre-merging step is beneficial. We show computational experiments in two and three dimensions. |
| title | A new provably stable weighted state redistribution algorithm |
| topic | Numerical Analysis |
| url | https://arxiv.org/abs/2308.16332 |