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Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach
To provide a simple numerical formulation based on fixed grids, a wavelet element method for fluid–solid modelling is introduced in this work. Compared with the classical wavelet finite element method, the presented method can potentially handle more complex shapes. Considering the differences betwe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503729/ https://www.ncbi.nlm.nih.gov/pubmed/32825660 http://dx.doi.org/10.3390/ma13173699 |
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author | Yang, Zhi-Bo Li, Hao-Qi Qiao, Bai-Jie Chen, Xue-Feng |
author_facet | Yang, Zhi-Bo Li, Hao-Qi Qiao, Bai-Jie Chen, Xue-Feng |
author_sort | Yang, Zhi-Bo |
collection | PubMed |
description | To provide a simple numerical formulation based on fixed grids, a wavelet element method for fluid–solid modelling is introduced in this work. Compared with the classical wavelet finite element method, the presented method can potentially handle more complex shapes. Considering the differences between the solid and fluid regions, a damping-like interface based on wavelet elements is designed, in order to ensure consistency between the two parts. The inner regions are constructed with the same wavelet function in space. In the time and spatial domains, a partitioned approach based on Jacobi iteration is combined with the pseudo-parallel calculation method. Numerical convergence analyses show that the method can serve as an alternative choice for fluid–solid coupling modelling. |
format | Online Article Text |
id | pubmed-7503729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75037292020-09-27 Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach Yang, Zhi-Bo Li, Hao-Qi Qiao, Bai-Jie Chen, Xue-Feng Materials (Basel) Article To provide a simple numerical formulation based on fixed grids, a wavelet element method for fluid–solid modelling is introduced in this work. Compared with the classical wavelet finite element method, the presented method can potentially handle more complex shapes. Considering the differences between the solid and fluid regions, a damping-like interface based on wavelet elements is designed, in order to ensure consistency between the two parts. The inner regions are constructed with the same wavelet function in space. In the time and spatial domains, a partitioned approach based on Jacobi iteration is combined with the pseudo-parallel calculation method. Numerical convergence analyses show that the method can serve as an alternative choice for fluid–solid coupling modelling. MDPI 2020-08-21 /pmc/articles/PMC7503729/ /pubmed/32825660 http://dx.doi.org/10.3390/ma13173699 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Zhi-Bo Li, Hao-Qi Qiao, Bai-Jie Chen, Xue-Feng Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach |
title | Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach |
title_full | Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach |
title_fullStr | Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach |
title_full_unstemmed | Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach |
title_short | Wavelet Element Modelling for Inviscid Fluid–Solid Coupling Problem based on Partitioned Approach |
title_sort | wavelet element modelling for inviscid fluid–solid coupling problem based on partitioned approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7503729/ https://www.ncbi.nlm.nih.gov/pubmed/32825660 http://dx.doi.org/10.3390/ma13173699 |
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