{"title":"An extensible set of parent elements to facilitate the isoparametric concept for polygons at finite strains: A scaled boundary finite element approach","authors":"E.T. Ooi , B. Sauren , S. Natarajan , C. Song","doi":"10.1016/j.cma.2025.117803","DOIUrl":null,"url":null,"abstract":"<div><div>We present a generalisation of the isoparametric concept to construct finite element interpolation functions on any star-convex polygonal parametric space. The approach is based on the solution to Laplace’s equation by employing the scaled boundary finite element method (SBFEM). We construct these interpolation functions for generic shapes of polygons, leading to a family of parent elements. By employing the flexibility of the SBFEM to model star-convex polygons of arbitrary number of sides, the family of parent elements can be extended straightforwardly. Similar to the standard isoparametric concept for triangles and quadrilaterals, polygonal elements in physical space are mapped to their corresponding parent element. In the preprocessing stage, each element is assigned its most affine parent element to ensure an optimal mapping. An integration scheme is developed to effectively integrate each triangular sector forming a polygon element. The novel isoparametric concept retains the use of standard procedures of the finite element method, including its ability to incorporate geometric and material nonlinearities. We demonstrate the application of the developed formulation to finite strain elasticity problems. Several numerical benchmark problems considering these aspects are used to validate the feasibility and demonstrate the advantages of the proposed method.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"437 ","pages":"Article 117803"},"PeriodicalIF":6.9000,"publicationDate":"2025-02-06","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/S0045782525000751","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}
引用次数: 0
Abstract
We present a generalisation of the isoparametric concept to construct finite element interpolation functions on any star-convex polygonal parametric space. The approach is based on the solution to Laplace’s equation by employing the scaled boundary finite element method (SBFEM). We construct these interpolation functions for generic shapes of polygons, leading to a family of parent elements. By employing the flexibility of the SBFEM to model star-convex polygons of arbitrary number of sides, the family of parent elements can be extended straightforwardly. Similar to the standard isoparametric concept for triangles and quadrilaterals, polygonal elements in physical space are mapped to their corresponding parent element. In the preprocessing stage, each element is assigned its most affine parent element to ensure an optimal mapping. An integration scheme is developed to effectively integrate each triangular sector forming a polygon element. The novel isoparametric concept retains the use of standard procedures of the finite element method, including its ability to incorporate geometric and material nonlinearities. We demonstrate the application of the developed formulation to finite strain elasticity problems. Several numerical benchmark problems considering these aspects are used to validate the feasibility and demonstrate the advantages of the proposed 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.