Error estimation for the polygonal finite element method for smooth and singular linear elasticity

被引:7
作者
Gonzalez-Estrada, Octavio A. [1 ]
Natarajan, Sundararajan [2 ]
Jose Rodenas, Juan [3 ]
Bordas, Stephane P. A. [1 ,4 ]
机构
[1] Univ Ind Santander, Sch Mech Engn, Ciudad Univ, Bucaramanga, Colombia
[2] Indian Inst Technol Madras, Dept Mech Engn, Chennai 600036, Tamil Nadu, India
[3] Univ Politecn Valencia, Inst Ingn Mecan & Biomecan I2MB, Camino Vera S-N, E-46022 Valencia, Spain
[4] Univ Luxembourg, Res Unit Engn Sci, Campus Kirchberg,6 Rue Richard Coudenhove Kalergi, L-1359 Luxembourg, Luxembourg
基金
英国工程与自然科学研究理事会; 欧洲研究理事会;
关键词
Polygonal finite element method; Laplace interpolants; Error estimation; Statical admissibility; Singularity; Recovery; SUPERCONVERGENT PATCH RECOVERY; QUADRATURE-RULES; CONVEX; MODEL; FEM; INTERPOLANTS; CONVERGENCE; INTEGRATION; ORDER;
D O I
10.1016/j.camwa.2021.03.017
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A recovery-based error indicator developed to evaluate the quality of polygonal finite element approximations is presented in this paper. Generalisations of the finite element method to arbitrary polygonal meshes have been increasingly investigated in the last years, as they provide flexibility in meshing and improve solution accuracy. As any numerical approximation, they have an induced error which has to be accounted for in order to validate the approximate solution. Here, we propose a recovery type error measure based on a moving least squares fitting of the finite element stress field. The quality of the recovered field is improved by imposing equilibrium conditions and, for singular problems, splitting the stress field into smooth and singular parts. We assess the performance of the error indicator using three problems with exact solution, and we also compared the results with those obtained with standard finite element meshes based on simplexes. The results indicate good values for the local and global effectivities, similar to the values obtained for standard approximations, and are always within the recommended range.
引用
收藏
页码:109 / 119
页数:11
相关论文
共 68 条
[1]  
Ainsworth M., 2000, PUR AP M-WI
[2]  
[Anonymous], 2021, Finite Element Analysis: Method, Verification and Validation, DOI DOI 10.1002/9781119426479
[3]  
[Anonymous], 1997, COMP MATH MATH PHYS+
[4]   p-Adaptive Ck generalized finite element method for arbitrary polygonal clouds [J].
Barros, Felicio B. ;
de Barcellos, Clovis S. ;
Duarte, Carlos A. .
COMPUTATIONAL MECHANICS, 2007, 41 (01) :175-187
[5]   Derivative recovery and a posteriori error estimate for extended finite elements [J].
Bordas, Stephane ;
Duflot, Marc .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2007, 196 (35-36) :3381-3399
[6]   Hourglass stabilization and the virtual element method [J].
Cangiani, A. ;
Manzini, G. ;
Russo, A. ;
Sukumar, N. .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2015, 102 (3-4) :404-436
[7]   A simple and effective gradient recovery scheme and a posteriori error estimator for the Virtual Element Method (VEM) [J].
Chi, Heng ;
da Veiga, Lourenco Beirao ;
Paulino, Glaucio H. .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 347 :21-58
[8]   Numerical integration of homogeneous functions on convex and nonconvex polygons and polyhedra [J].
Chin, Eric B. ;
Lasserre, Jean B. ;
Sukumar, N. .
COMPUTATIONAL MECHANICS, 2015, 56 (06) :967-981
[9]   WEIGHTS OF LINKS AND PLAQUETTES IN A RANDOM LATTICE [J].
CHRIST, NH ;
FRIEDBERG, R ;
LEE, TD .
NUCLEAR PHYSICS B, 1982, 210 (03) :337-346
[10]   Overview and recent advances in natural neighbour Galerkin methods [J].
Cueto, E ;
Sukumar, N ;
Calvo, B ;
Martínez, MA ;
Cegoñino, J ;
Doblaré, M .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2003, 10 (04) :307-384