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Speedup of Elastic–Plastic Analysis of Large-scale Model with Crack Using Partitioned Coupling Method with Subcycling Technique

Yasunori Yusa1, Shinobu Yoshimura1

1 The University of Tokyo, Tokyo, Japan.

Computer Modeling in Engineering & Sciences 2014, 99(1), 87-104. https://doi.org/10.3970/cmes.2014.099.087

Abstract

To speed up the elastic–plastic analysis of a large-scale model with a crack in which plasticity is observed near the crack, the partitioned coupling method is applied. In this method, the entire analysis model is decomposed into two non-overlapped domains (i.e., global and local domains), and the two domains are analyzed with an iterative method. The cracked local domain is modeled as an elastic–plastic body, whereas the large-scale global domain is modeled as an elastic body. A subcycling technique is utilized for incremental analysis to reduce the number of global elastic analyses. For a benchmark problem with 6 million degrees of freedom, the developed partitioned coupling solver with the subcycling technique was 3.34 times faster than the developed conventional FEM solver.

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APA Style
Yusa, Y., Yoshimura, S. (2014). Speedup of elastic–plastic analysis of large-scale model with crack using partitioned coupling method with subcycling technique. Computer Modeling in Engineering & Sciences, 99(1), 87-104. https://doi.org/10.3970/cmes.2014.099.087
Vancouver Style
Yusa Y, Yoshimura S. Speedup of elastic–plastic analysis of large-scale model with crack using partitioned coupling method with subcycling technique. Comput Model Eng Sci. 2014;99(1):87-104 https://doi.org/10.3970/cmes.2014.099.087
IEEE Style
Y. Yusa and S. Yoshimura, “Speedup of Elastic–Plastic Analysis of Large-scale Model with Crack Using Partitioned Coupling Method with Subcycling Technique,” Comput. Model. Eng. Sci., vol. 99, no. 1, pp. 87-104, 2014. https://doi.org/10.3970/cmes.2014.099.087



cc Copyright © 2014 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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