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A Macro Element Method to Improve Computational Efficiency in Large-scaled Nonlinear Analysis

by Huan Wang1, Weifeng Yuan2, Fei Jia2

School of Applied Technology, Southwest University of Science and Technology, China.
School of Manufacturing Science and Engineering, Southwest University of Science and Technol-ogy, China.
Corresponding author. E-mail: yuanweifeng@swust.edu.cn

Computers, Materials & Continua 2015, 47(1), 31-43. https://doi.org/10.3970/cmc.2015.047.031

Abstract

Compared with dealing with a linear system, solving a nonlinear system equation in numerical simulation requires generally more CPU time since iterative approach is usually used in the latter. To cut down the computing cost, a direct way is to reduce the degree of freedoms (DOF) of the problem under investigation. However, this kind of treatment may result in poorer accuracy. In this manuscript, a macro element method is proposed to improve computational efficiency in large-scaled nonlinear analysis. When this concept is incorporated into finite element analysis (FEA), all the members in the linear zones of a structure can be grouped into just one macro element. By using weak member approach, the stiffness matrix of this macro element can be evaluated through unit force method. Numerical examples prove that the proposed macro element method can increase the computational efficiency significantly without obvious negative influence on accuracy.

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Cite This Article

APA Style
Wang, H., Yuan, W., Jia, F. (2015). A macro element method to improve computational efficiency in large-scaled nonlinear analysis. Computers, Materials & Continua, 47(1), 31-43. https://doi.org/10.3970/cmc.2015.047.031
Vancouver Style
Wang H, Yuan W, Jia F. A macro element method to improve computational efficiency in large-scaled nonlinear analysis. Comput Mater Contin. 2015;47(1):31-43 https://doi.org/10.3970/cmc.2015.047.031
IEEE Style
H. Wang, W. Yuan, and F. Jia, “A Macro Element Method to Improve Computational Efficiency in Large-scaled Nonlinear Analysis,” Comput. Mater. Contin., vol. 47, no. 1, pp. 31-43, 2015. https://doi.org/10.3970/cmc.2015.047.031



cc Copyright © 2015 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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