{"title":"非线性固体力学的准无网格方法:域离散化与解法离散化的分离","authors":"Joseph Bishop , Mike Tupek , Jacob Koester","doi":"10.1016/j.cma.2024.117459","DOIUrl":null,"url":null,"abstract":"<div><div>In many applications, domains of interest are geometrically complex containing numerous small features. These features are typically removed in a manual process to facilitate a conventional element-based meshing process. This manual defeaturing process is dependent upon the goals of the simulation and typically involves subjective heuristics. To provide a flexible and easily adaptable discretization process of the governing equations that is independent of the domain discretization, an element-free Galerkin method is proposed in which a fine-scale triangulation is used to first discretize the fully featured domain, but then a coarse-scale element-free discretization is used to approximate the solution of the governing equations. The fine-scale triangulation can be of poor quality and extremely refined since it is not used directly to approximate the solution of the governing equations. The coarse-scale element-free basis has local support and can be adapted through refinement or coarsening without the need to alter the fine-scale triangulation or other geometric considerations. The element-free basis functions are constructed using a conventional moving-least-squares procedure, but the initial weight functions are constructed using manifold geodesics for general applicability to non-convex domains. The weak form of the governing equations is integrated using a secondary coarse-scale element-free basis and a gradient projection technique. The projected-gradient methodology ensures the necessary consistency properties to pass the patch test and obtain optimal rates of convergence. The overall method is termed quasi-meshfree since both meshfree and mesh-based concepts are used. Several verification problems and nonlinear application examples are presented to demonstrate the overall method.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"432 ","pages":"Article 117459"},"PeriodicalIF":6.9000,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A quasi-meshfree method for nonlinear solid mechanics: Separating domain discretization from solution discretization\",\"authors\":\"Joseph Bishop , Mike Tupek , Jacob Koester\",\"doi\":\"10.1016/j.cma.2024.117459\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In many applications, domains of interest are geometrically complex containing numerous small features. These features are typically removed in a manual process to facilitate a conventional element-based meshing process. This manual defeaturing process is dependent upon the goals of the simulation and typically involves subjective heuristics. To provide a flexible and easily adaptable discretization process of the governing equations that is independent of the domain discretization, an element-free Galerkin method is proposed in which a fine-scale triangulation is used to first discretize the fully featured domain, but then a coarse-scale element-free discretization is used to approximate the solution of the governing equations. The fine-scale triangulation can be of poor quality and extremely refined since it is not used directly to approximate the solution of the governing equations. The coarse-scale element-free basis has local support and can be adapted through refinement or coarsening without the need to alter the fine-scale triangulation or other geometric considerations. The element-free basis functions are constructed using a conventional moving-least-squares procedure, but the initial weight functions are constructed using manifold geodesics for general applicability to non-convex domains. The weak form of the governing equations is integrated using a secondary coarse-scale element-free basis and a gradient projection technique. The projected-gradient methodology ensures the necessary consistency properties to pass the patch test and obtain optimal rates of convergence. The overall method is termed quasi-meshfree since both meshfree and mesh-based concepts are used. Several verification problems and nonlinear application examples are presented to demonstrate the overall method.</div></div>\",\"PeriodicalId\":55222,\"journal\":{\"name\":\"Computer Methods in Applied Mechanics and Engineering\",\"volume\":\"432 \",\"pages\":\"Article 117459\"},\"PeriodicalIF\":6.9000,\"publicationDate\":\"2024-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Methods in Applied Mechanics and Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S004578252400714X\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Applied Mechanics and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S004578252400714X","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
A quasi-meshfree method for nonlinear solid mechanics: Separating domain discretization from solution discretization
In many applications, domains of interest are geometrically complex containing numerous small features. These features are typically removed in a manual process to facilitate a conventional element-based meshing process. This manual defeaturing process is dependent upon the goals of the simulation and typically involves subjective heuristics. To provide a flexible and easily adaptable discretization process of the governing equations that is independent of the domain discretization, an element-free Galerkin method is proposed in which a fine-scale triangulation is used to first discretize the fully featured domain, but then a coarse-scale element-free discretization is used to approximate the solution of the governing equations. The fine-scale triangulation can be of poor quality and extremely refined since it is not used directly to approximate the solution of the governing equations. The coarse-scale element-free basis has local support and can be adapted through refinement or coarsening without the need to alter the fine-scale triangulation or other geometric considerations. The element-free basis functions are constructed using a conventional moving-least-squares procedure, but the initial weight functions are constructed using manifold geodesics for general applicability to non-convex domains. The weak form of the governing equations is integrated using a secondary coarse-scale element-free basis and a gradient projection technique. The projected-gradient methodology ensures the necessary consistency properties to pass the patch test and obtain optimal rates of convergence. The overall method is termed quasi-meshfree since both meshfree and mesh-based concepts are used. Several verification problems and nonlinear application examples are presented to demonstrate the overall method.
期刊介绍:
Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.