Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/78573
Type: Artigo de periódico
Title: Tensor-based Gauss-Jacobi numerical integration for high-order mass and stiffness matrices
Author: Bittencourt, ML
Vazquez, TG
Abstract: In this work, we choose the points and weights of the Gauss-Jacobi, Gauss-Radau-Jacobi and Gauss-Lobatto-Jacobi quadrature rules that optimize the number of operations for the mass and stiffness matrices of the high-order finite element method. The procedure is particularly applied to the mass and stiffness matrices using the tensor-based nodal and modal shape functions given in (Int. J. Numer. Meth. Engng , 2007; 71(5):529-563). For square and hexahedron elements, we show that it is possible to use tensor product Of the 1D mass and stiffness matrices for the Poisson and elasticity problem. For the triangular and tetrahedron elements, all analogous analysis given in (Int. J. Numer. Meth. Engng 2005; 63(2):1530-1558), was considered for the selection of the optimal points and weights for the stiffness matrix coefficients for triangles and mass and stiffness matrices for tetrahedra. Copyright (C) 2009 John Wiley & Sons, Ltd.
Subject: high-order methods
finite element methods
numerical integration
Jacobi polynomials
Gauss-Jacobi quadrature
Country: Inglaterra
Editor: John Wiley & Sons Ltd
Rights: fechado
Identifier DOI: 10.1002/nme.2580
Date Issue: 2009
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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