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Research on smoke simulation with vortex shedding

The Lagrangian vortex method has the advantage of producing highly detailed simulations of fluids such as turbulent smoke. However, this method has two problems: the construction of the velocity field from the vorticity field is inefficient, and handling the boundary condition is difficult. We prese...

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Detalles Bibliográficos
Autores principales: Tao, Rui, Ren, Hongxiang, Wang, Delong, Bai, Xiangen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202895/
https://www.ncbi.nlm.nih.gov/pubmed/35709151
http://dx.doi.org/10.1371/journal.pone.0269114
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author Tao, Rui
Ren, Hongxiang
Wang, Delong
Bai, Xiangen
author_facet Tao, Rui
Ren, Hongxiang
Wang, Delong
Bai, Xiangen
author_sort Tao, Rui
collection PubMed
description The Lagrangian vortex method has the advantage of producing highly detailed simulations of fluids such as turbulent smoke. However, this method has two problems: the construction of the velocity field from the vorticity field is inefficient, and handling the boundary condition is difficult. We present a pure Lagrangian vortex method, including a nested grid to accelerate the construction of the velocity field, and a novel boundary treatment method for the vorticity field. Based on a tree structure, the nested grid algorithm considerably improves the efficiency of the velocity computation while producing visual results that are comparable with the original flow. Based on the vortex-generating method, the least square method is used to compute the vorticity strength of the new vortex elements. Further, we consider the mutual influence between the generated vortex particles. We demonstrate our method’s benefits by using a vortex ring and various examples of interaction between the smoke and obstacles.
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spelling pubmed-92028952022-06-17 Research on smoke simulation with vortex shedding Tao, Rui Ren, Hongxiang Wang, Delong Bai, Xiangen PLoS One Research Article The Lagrangian vortex method has the advantage of producing highly detailed simulations of fluids such as turbulent smoke. However, this method has two problems: the construction of the velocity field from the vorticity field is inefficient, and handling the boundary condition is difficult. We present a pure Lagrangian vortex method, including a nested grid to accelerate the construction of the velocity field, and a novel boundary treatment method for the vorticity field. Based on a tree structure, the nested grid algorithm considerably improves the efficiency of the velocity computation while producing visual results that are comparable with the original flow. Based on the vortex-generating method, the least square method is used to compute the vorticity strength of the new vortex elements. Further, we consider the mutual influence between the generated vortex particles. We demonstrate our method’s benefits by using a vortex ring and various examples of interaction between the smoke and obstacles. Public Library of Science 2022-06-16 /pmc/articles/PMC9202895/ /pubmed/35709151 http://dx.doi.org/10.1371/journal.pone.0269114 Text en © 2022 Tao et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Tao, Rui
Ren, Hongxiang
Wang, Delong
Bai, Xiangen
Research on smoke simulation with vortex shedding
title Research on smoke simulation with vortex shedding
title_full Research on smoke simulation with vortex shedding
title_fullStr Research on smoke simulation with vortex shedding
title_full_unstemmed Research on smoke simulation with vortex shedding
title_short Research on smoke simulation with vortex shedding
title_sort research on smoke simulation with vortex shedding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202895/
https://www.ncbi.nlm.nih.gov/pubmed/35709151
http://dx.doi.org/10.1371/journal.pone.0269114
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