{"title":"An extra-dof-free generalized finite element method for incompressible Navier-Stokes equations","authors":"Wenhai Sheng , Qinglin Duan","doi":"10.1016/j.cma.2024.117466","DOIUrl":null,"url":null,"abstract":"<div><div>The generalized finite element method (GFEM) without extra degrees of freedom (dof) is extended to solve incompressible Navier-Stokes (N-S) equations. Unlike the existing extra-dof-free GFEM, we propose a new approach to construct the nodal enrichments based on the weighted least-squares. As a result, the essential boundary conditions can be imposed more accurately. The Characteristic-Based Split (CBS) scheme is used to suppress oscillations due to the standard Galerkin discretization of the convective terms, and the pressure is further stabilized by the finite increment calculus (FIC) formulation. Hence, equal velocity-pressure interpolation and the incremental version of the split scheme can be used without inducing spurious oscillations. The developed extra-dof-free GFEM is very flexible and can achieve high-order spatial accuracy and convergence rates by adopting high-order polynomial enrichments. In particular, better accuracy could be obtained with special enrichments reflecting a-priori knowledge about the solution. This is demonstrated by numerical results. Benchmark examples such as the Lid-Driven Cavity flow and the flow past a circular cylinder are also presented to further verify the effectiveness of the proposed extra-dof-free GFEM for incompressible flow.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"433 ","pages":"Article 117466"},"PeriodicalIF":6.9000,"publicationDate":"2024-10-28","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/S0045782524007217","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
The generalized finite element method (GFEM) without extra degrees of freedom (dof) is extended to solve incompressible Navier-Stokes (N-S) equations. Unlike the existing extra-dof-free GFEM, we propose a new approach to construct the nodal enrichments based on the weighted least-squares. As a result, the essential boundary conditions can be imposed more accurately. The Characteristic-Based Split (CBS) scheme is used to suppress oscillations due to the standard Galerkin discretization of the convective terms, and the pressure is further stabilized by the finite increment calculus (FIC) formulation. Hence, equal velocity-pressure interpolation and the incremental version of the split scheme can be used without inducing spurious oscillations. The developed extra-dof-free GFEM is very flexible and can achieve high-order spatial accuracy and convergence rates by adopting high-order polynomial enrichments. In particular, better accuracy could be obtained with special enrichments reflecting a-priori knowledge about the solution. This is demonstrated by numerical results. Benchmark examples such as the Lid-Driven Cavity flow and the flow past a circular cylinder are also presented to further verify the effectiveness of the proposed extra-dof-free GFEM for incompressible flow.
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.