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A Lagrangian meshfree method applied to linear and nonlinear elasticity

The repeated replacement method (RRM) is a Lagrangian meshfree method which we have previously applied to the Euler equations for compressible fluid flow. In this paper we present new enhancements to RRM, and we apply the enhanced method to both linear and nonlinear elasticity. We compare the result...

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Detalles Bibliográficos
Autor principal: Walker, Wade A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5646830/
https://www.ncbi.nlm.nih.gov/pubmed/29045443
http://dx.doi.org/10.1371/journal.pone.0186345
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author Walker, Wade A.
author_facet Walker, Wade A.
author_sort Walker, Wade A.
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description The repeated replacement method (RRM) is a Lagrangian meshfree method which we have previously applied to the Euler equations for compressible fluid flow. In this paper we present new enhancements to RRM, and we apply the enhanced method to both linear and nonlinear elasticity. We compare the results of ten test problems to those of analytic solvers, to demonstrate that RRM can successfully simulate these elastic systems without many of the requirements of traditional numerical methods such as numerical derivatives, equation system solvers, or Riemann solvers. We also show the relationship between error and computational effort for RRM on these systems, and compare RRM to other methods to highlight its strengths and weaknesses. And to further explain the two elastic equations used in the paper, we demonstrate the mathematical procedure used to create Riemann and Sedov-Taylor solvers for them, and detail the numerical techniques needed to embody those solvers in code.
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spelling pubmed-56468302017-10-30 A Lagrangian meshfree method applied to linear and nonlinear elasticity Walker, Wade A. PLoS One Research Article The repeated replacement method (RRM) is a Lagrangian meshfree method which we have previously applied to the Euler equations for compressible fluid flow. In this paper we present new enhancements to RRM, and we apply the enhanced method to both linear and nonlinear elasticity. We compare the results of ten test problems to those of analytic solvers, to demonstrate that RRM can successfully simulate these elastic systems without many of the requirements of traditional numerical methods such as numerical derivatives, equation system solvers, or Riemann solvers. We also show the relationship between error and computational effort for RRM on these systems, and compare RRM to other methods to highlight its strengths and weaknesses. And to further explain the two elastic equations used in the paper, we demonstrate the mathematical procedure used to create Riemann and Sedov-Taylor solvers for them, and detail the numerical techniques needed to embody those solvers in code. Public Library of Science 2017-10-18 /pmc/articles/PMC5646830/ /pubmed/29045443 http://dx.doi.org/10.1371/journal.pone.0186345 Text en © 2017 Wade A. Walker http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Walker, Wade A.
A Lagrangian meshfree method applied to linear and nonlinear elasticity
title A Lagrangian meshfree method applied to linear and nonlinear elasticity
title_full A Lagrangian meshfree method applied to linear and nonlinear elasticity
title_fullStr A Lagrangian meshfree method applied to linear and nonlinear elasticity
title_full_unstemmed A Lagrangian meshfree method applied to linear and nonlinear elasticity
title_short A Lagrangian meshfree method applied to linear and nonlinear elasticity
title_sort lagrangian meshfree method applied to linear and nonlinear elasticity
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5646830/
https://www.ncbi.nlm.nih.gov/pubmed/29045443
http://dx.doi.org/10.1371/journal.pone.0186345
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