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An Adaptive Substructure-Based Model Order Reduction Method for Nonlinear Seismic Analysis in OpenSees

Jian Wang1, 2, Ming Fang3, *, Hui Li1, 2

1 Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, Harbin Institute of Technology, Harbin, 150090, China.
2 Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin, 150090, China.
3 College of Shipbuilding Engineering, Harbin Engineering University, Harbin, 150001, China.

* Corresponding Author: Ming Fang. Email: email.

Computer Modeling in Engineering & Sciences 2020, 124(1), 79-106. https://doi.org/10.32604/cmes.2020.09470

Abstract

Structural components may enter an initial-elastic state, a plastic-hardening state and a residual-elastic state during strong seismic excitations. In the residual-elastic state, structural components keep in an unloading/reloading stage that is dominated by a tangent stiffness, thus structural components remain residual deformations but behave in an elastic manner. It has a great potential to make model order reduction for such structural components using the tangent-stiffness-based vibration modes as a reduced order basis. In this paper, an adaptive substructure-based model order reduction method is developed to perform nonlinear seismic analysis for structures that have a priori unknown damage distribution. This method is able to generate time-varying substructures and make nonlinear model order reduction for substructures in the residual-elastic phase. The finite element program OpenSees has been extended to provide the adaptive substructure-based nonlinear seismic analysis. At the low level of OpenSees framework, a new abstract layer is created to represent the time-varying substructures and implement the modeling process of substructures. At the high level of OpenSees framework, a new transient analysis class is created to implement the solving process of substructure-based governing equations. Compared with the conventional time step integration method, the adaptive substructure-based model order reduction method can yield comparative results with a higher computational efficiency.

Keywords

Adaptive substructure modeling, model order reduction, nonlinear seismic analysis, computer programming, OpenSees.

Cite This Article

APA Style
Wang, J., Fang, M., Li, H. (2020). An Adaptive Substructure-Based Model Order Reduction Method for Nonlinear Seismic Analysis in OpenSees. Computer Modeling in Engineering & Sciences, 124(1), 79–106. https://doi.org/10.32604/cmes.2020.09470
Vancouver Style
Wang J, Fang M, Li H. An Adaptive Substructure-Based Model Order Reduction Method for Nonlinear Seismic Analysis in OpenSees. Comput Model Eng Sci. 2020;124(1):79–106. https://doi.org/10.32604/cmes.2020.09470
IEEE Style
J. Wang, M. Fang, and H. Li, “An Adaptive Substructure-Based Model Order Reduction Method for Nonlinear Seismic Analysis in OpenSees,” Comput. Model. Eng. Sci., vol. 124, no. 1, pp. 79–106, 2020. https://doi.org/10.32604/cmes.2020.09470

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cc Copyright © 2020 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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