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Riccati transfer equations for fluid structure interaction in liquid-filled piping systems
In this paper, based on the Riccati transfer matrix method (RTMM), the Riccati fluid structure interaction transfer equations (FSIRTE) are established to improve the numerical stability of the classical fluid structure interaction transfer matrix method (FSITMM). Combined with numerical algorithms f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189169/ https://www.ncbi.nlm.nih.gov/pubmed/37206033 http://dx.doi.org/10.1016/j.heliyon.2023.e15923 |
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author | Tang, Li Xiaoting, Rui Jianshu, Zhang Lina, Zhang |
author_facet | Tang, Li Xiaoting, Rui Jianshu, Zhang Lina, Zhang |
author_sort | Tang, Li |
collection | PubMed |
description | In this paper, based on the Riccati transfer matrix method (RTMM), the Riccati fluid structure interaction transfer equations (FSIRTE) are established to improve the numerical stability of the classical fluid structure interaction transfer matrix method (FSITMM). Combined with numerical algorithms for eliminating the singularity points of the Riccati equations, the spare root problem in the calculation process is solved. This method can be used for the natural frequency calculation of liquid-filled piping systems. Compared with finite element method (FEM), it has the characteristics of high calculation efficiency; meanwhile, good numerical stability, compared with FSITMM; and accurate calculation results, compared with method of characteristics (MOC). Numerical simulation results of typical classical examples are given. |
format | Online Article Text |
id | pubmed-10189169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-101891692023-05-18 Riccati transfer equations for fluid structure interaction in liquid-filled piping systems Tang, Li Xiaoting, Rui Jianshu, Zhang Lina, Zhang Heliyon Research Article In this paper, based on the Riccati transfer matrix method (RTMM), the Riccati fluid structure interaction transfer equations (FSIRTE) are established to improve the numerical stability of the classical fluid structure interaction transfer matrix method (FSITMM). Combined with numerical algorithms for eliminating the singularity points of the Riccati equations, the spare root problem in the calculation process is solved. This method can be used for the natural frequency calculation of liquid-filled piping systems. Compared with finite element method (FEM), it has the characteristics of high calculation efficiency; meanwhile, good numerical stability, compared with FSITMM; and accurate calculation results, compared with method of characteristics (MOC). Numerical simulation results of typical classical examples are given. Elsevier 2023-05-03 /pmc/articles/PMC10189169/ /pubmed/37206033 http://dx.doi.org/10.1016/j.heliyon.2023.e15923 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Tang, Li Xiaoting, Rui Jianshu, Zhang Lina, Zhang Riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
title | Riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
title_full | Riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
title_fullStr | Riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
title_full_unstemmed | Riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
title_short | Riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
title_sort | riccati transfer equations for fluid structure interaction in liquid-filled piping systems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189169/ https://www.ncbi.nlm.nih.gov/pubmed/37206033 http://dx.doi.org/10.1016/j.heliyon.2023.e15923 |
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