r-adaptive mesh generation for shell finite element analysis

被引:13
|
作者
Cho, M [1 ]
Jun, S [1 ]
机构
[1] Seoul Natl Univ, Sch Mech & Aerosp Engn, Kwanak Ku, Seoul 151744, South Korea
关键词
r-adaptivity; shell finite element analysis; Naghdi's shell; B-spline surface;
D O I
10.1016/j.jcp.2004.02.007
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An r-adaptive method or moving grid technique relocates a grid so that it becomes concentrated in the desired region. This concentration improves the accuracy and efficiency of finite element solutions. We apply the r-adaptive method to computational mesh of shell surfaces, which is initially regular and uniform. The r-adaptive method, given by Liao and Anderson [Appl. Anal. 44 (1992) 285], aggregate the grid in the region with a relatively high weight function without any grid-tangling. The stress error estimator is calculated in the initial uniform mesh for a weight function. However, since the r-adaptive method is a method that moves the grid, shell surface geometry error such as curvature error and mesh distortion error will increase. Therefore, to represent the exact geometry of a shell surface and to prevent surface geometric errors, we use the Naghdi's shell theory and express the shell surface by a B-spline patch. In addition, using a nine-node element, which is relatively less sensitive to mesh distortion, we try to diminish mesh distortion error in the application of an r-adaptive method. In the numerical examples, it is shown that the values of the error estimator for a cylinder, hemisphere, and torus in the overall domain can be reduced effectively by using the mesh generated by the r-adaptive method. Also, the reductions of the estimated relative errors are demonstrated in the numerical examples. In particular, a new functional is proposed to construct an adjusted mesh configuration by considering a mesh distortion measure as well as the stress error function. The proposed weight function provides a reliable mesh adaptation method after a parameter value in the weight function is properly chosen. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:291 / 316
页数:26
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