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Development and Application of a High-Performance Triangular Shell Element and an Explicit Algorithm in OpenSees for Strongly Nonlinear Analysis

Xinzheng Lu1,*, Yuan Tian2, Chujin Sun2, Shuhao Zhang2

Key Laboratory of Civil Engineering Safety and Durability of China Education Ministry, Department of Civil Engineering, Tsinghua University, Beijing, 100084, China.
Beijing Engineering Research Center of Steel and Concrete Composite Structures, Tsinghua University, Beijing, 100084, China.

*Corresponding Author: Xinzheng Lu. Email: email.

(This article belongs to this Special Issue: Advances in OpenSees Applications to Civil Engineering)

Computer Modeling in Engineering & Sciences 2019, 120(3), 561-582. https://doi.org/10.32604/cmes.2019.04770

Abstract

The open-source finite element software, OpenSees, is widely used in the earthquake engineering community. However, the shell elements and explicit algorithm in OpenSees still require further improvements. Therefore, in this work, a triangular shell element, NLDKGT, and an explicit algorithm are proposed and implemented in OpenSees. Specifically, based on the generalized conforming theory and the updated Lagrangian formulation, the proposed NLDKGT element is suitable for problems with complicated boundary conditions and strong nonlinearity. The accuracy and reliability of the NLDKGT element are validated through typical cases. Furthermore, by adopting the leapfrog integration method, an explicit algorithm in OpenSees and a modal damping model are developed. Finally, the stability and efficiency of the proposed shell element and explicit algorithm are validated through the nonlinear time-history analysis of a high-rise building.

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Cite This Article

Lu, X., Tian, Y., Sun, C., Zhang, S. (2019). Development and Application of a High-Performance Triangular Shell Element and an Explicit Algorithm in OpenSees for Strongly Nonlinear Analysis. CMES-Computer Modeling in Engineering & Sciences, 120(3), 561–582. https://doi.org/10.32604/cmes.2019.04770

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cc 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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