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A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows
The Immersed Boundary Method (IBM) has an advantage in simulating fluid–structure interaction, owning to its simplicity, intuitiveness, and ease of handling complex object boundaries. The interpolation function plays a vital role in IBM and it is usually computationally intensive. For moving or defo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887058/ https://www.ncbi.nlm.nih.gov/pubmed/36717697 http://dx.doi.org/10.1038/s41598-023-28878-5 |
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author | Xu, Dong Liu, Jianing Wu, Yunfeng Ji, Chunning |
author_facet | Xu, Dong Liu, Jianing Wu, Yunfeng Ji, Chunning |
author_sort | Xu, Dong |
collection | PubMed |
description | The Immersed Boundary Method (IBM) has an advantage in simulating fluid–structure interaction, owning to its simplicity, intuitiveness, and ease of handling complex object boundaries. The interpolation function plays a vital role in IBM and it is usually computationally intensive. For moving or deforming solids, the interpolation weights of all the immersed boundary points ought to be updated every time step, which takes quite a lot CPU time. Since the interpolation procedure within all uniform structured grids is highly repetitive and very similar, we propose a simple and generalized Discretized Immersed Boundary Method (DIBM), which significantly improves efficiency by discretizing the interpolation functions onto subgrid points within each control volume and reusing a predefined universal interpolation stencil. The accuracy and performance of DIBM are analyzed using both theoretical estimation and simulation tests. The results show speedup ratios of 30–40 or even higher using DIBM when compared with conventional IBM for typical moving boundary simulations like particle-laden flows, while the error is estimated to be under 1% and can be further decreased by using finer subgrid stencils. By balancing the performance and accuracy demands, DIBM provides an efficient alternative framework for handling moving boundaries in incompressible viscous flows. |
format | Online Article Text |
id | pubmed-9887058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98870582023-02-01 A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows Xu, Dong Liu, Jianing Wu, Yunfeng Ji, Chunning Sci Rep Article The Immersed Boundary Method (IBM) has an advantage in simulating fluid–structure interaction, owning to its simplicity, intuitiveness, and ease of handling complex object boundaries. The interpolation function plays a vital role in IBM and it is usually computationally intensive. For moving or deforming solids, the interpolation weights of all the immersed boundary points ought to be updated every time step, which takes quite a lot CPU time. Since the interpolation procedure within all uniform structured grids is highly repetitive and very similar, we propose a simple and generalized Discretized Immersed Boundary Method (DIBM), which significantly improves efficiency by discretizing the interpolation functions onto subgrid points within each control volume and reusing a predefined universal interpolation stencil. The accuracy and performance of DIBM are analyzed using both theoretical estimation and simulation tests. The results show speedup ratios of 30–40 or even higher using DIBM when compared with conventional IBM for typical moving boundary simulations like particle-laden flows, while the error is estimated to be under 1% and can be further decreased by using finer subgrid stencils. By balancing the performance and accuracy demands, DIBM provides an efficient alternative framework for handling moving boundaries in incompressible viscous flows. Nature Publishing Group UK 2023-01-30 /pmc/articles/PMC9887058/ /pubmed/36717697 http://dx.doi.org/10.1038/s41598-023-28878-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Xu, Dong Liu, Jianing Wu, Yunfeng Ji, Chunning A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
title | A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
title_full | A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
title_fullStr | A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
title_full_unstemmed | A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
title_short | A high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
title_sort | high-efficiency discretized immersed boundary method for moving boundaries in incompressible flows |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887058/ https://www.ncbi.nlm.nih.gov/pubmed/36717697 http://dx.doi.org/10.1038/s41598-023-28878-5 |
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