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A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method
One of the great challenges of unconfined seepage through a dam lies in the accurate determination of free surface that depends on the complexity of the seepage model, especially if the model is characterized with complex geometry and sharp variations in permeability distribution. This study present...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502791/ https://www.ncbi.nlm.nih.gov/pubmed/31061509 http://dx.doi.org/10.1038/s41598-019-43391-4 |
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author | Dai, Qianwei Lei, Yi Zhang, Bin Feng, Deshan Wang, Xun Yin, Xiaobo |
author_facet | Dai, Qianwei Lei, Yi Zhang, Bin Feng, Deshan Wang, Xun Yin, Xiaobo |
author_sort | Dai, Qianwei |
collection | PubMed |
description | One of the great challenges of unconfined seepage through a dam lies in the accurate determination of free surface that depends on the complexity of the seepage model, especially if the model is characterized with complex geometry and sharp variations in permeability distribution. This study presents a practical methodology that combines the adaptive moving-mesh algorithm and the Galerkin finite element method (FEM) to solve an unconfined seepage problem with high efficiency and precision. The methodology employs a set of improvement terms, such as remainder factor, step-size parameter and termination condition, all of which guarantee that the simulation and the refinement fitting can be implemented efficiently until the free surface converges within a given allowable error. In particular, a specialized discussion is presented for the significant relation between the location of the exit point and the corresponding grid fineness. To validate the practicability of the proposed method, a series of examples are performed. Comparing the result with those of other numerical approaches, we conclude that even though the unconfined seepage model may be complicated with arbitrary complex geometry and sharp variations in permeability distribution, the proposed algorithm provides a great improvement in efficiency and accuracy in free-surface searching. |
format | Online Article Text |
id | pubmed-6502791 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65027912019-05-20 A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method Dai, Qianwei Lei, Yi Zhang, Bin Feng, Deshan Wang, Xun Yin, Xiaobo Sci Rep Article One of the great challenges of unconfined seepage through a dam lies in the accurate determination of free surface that depends on the complexity of the seepage model, especially if the model is characterized with complex geometry and sharp variations in permeability distribution. This study presents a practical methodology that combines the adaptive moving-mesh algorithm and the Galerkin finite element method (FEM) to solve an unconfined seepage problem with high efficiency and precision. The methodology employs a set of improvement terms, such as remainder factor, step-size parameter and termination condition, all of which guarantee that the simulation and the refinement fitting can be implemented efficiently until the free surface converges within a given allowable error. In particular, a specialized discussion is presented for the significant relation between the location of the exit point and the corresponding grid fineness. To validate the practicability of the proposed method, a series of examples are performed. Comparing the result with those of other numerical approaches, we conclude that even though the unconfined seepage model may be complicated with arbitrary complex geometry and sharp variations in permeability distribution, the proposed algorithm provides a great improvement in efficiency and accuracy in free-surface searching. Nature Publishing Group UK 2019-05-06 /pmc/articles/PMC6502791/ /pubmed/31061509 http://dx.doi.org/10.1038/s41598-019-43391-4 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Dai, Qianwei Lei, Yi Zhang, Bin Feng, Deshan Wang, Xun Yin, Xiaobo A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method |
title | A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method |
title_full | A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method |
title_fullStr | A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method |
title_full_unstemmed | A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method |
title_short | A practical adaptive moving-mesh algorithm for solving unconfined seepage problem with Galerkin finite element method |
title_sort | practical adaptive moving-mesh algorithm for solving unconfined seepage problem with galerkin finite element method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6502791/ https://www.ncbi.nlm.nih.gov/pubmed/31061509 http://dx.doi.org/10.1038/s41598-019-43391-4 |
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