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Form Finding and Collapse Analysis of Cable Nets Under Dynamic Loads Based on Finite Particle Method

Ying Yu1,*, Ping Xia1, Chunwei Yang1

Department of Civil Engineering, Shantou University, Shantou, 515063, China

*Corresponding Author: Ying Yu. Email: email.

Computer Modeling in Engineering & Sciences 2018, 117(1), 73-89. https://doi.org/10.31614/cmes.2018.04063

Abstract

This paper presents form finding and collapse analysis of cable net structure under strong wind using the finite particle method (FPM). As a kind of particle method, the theoretical fundamentals of the FPM are given. Methods to handle geometric and material nonlinearities of cable element are proposed. The fracture criterion and model for cable element are built to simulate the failure of cable nets. The form-finding and load analysis of two cable nets are then performed in order to initialize the successive of nonlinear analysis. The failure progress of cable nets under dynamic loads is simulated, and the dynamic responses of the typical fracture element are given in details. Analyses of the energy variations during the collapse process also show the failure mechanisms of cable nets, which is useful for the structure collapse resistance design. The numerical applications highlight the capability of the proposed procedure to solve complicate collapse problems with the FPM.

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Cite This Article

APA Style
Yu, Y., Xia, P., Yang, C. (2018). Form finding and collapse analysis of cable nets under dynamic loads based on finite particle method. Computer Modeling in Engineering & Sciences, 117(1), 73-89. https://doi.org/10.31614/cmes.2018.04063
Vancouver Style
Yu Y, Xia P, Yang C. Form finding and collapse analysis of cable nets under dynamic loads based on finite particle method. Comput Model Eng Sci. 2018;117(1):73-89 https://doi.org/10.31614/cmes.2018.04063
IEEE Style
Y. Yu, P. Xia, and C. Yang "Form Finding and Collapse Analysis of Cable Nets Under Dynamic Loads Based on Finite Particle Method," Comput. Model. Eng. Sci., vol. 117, no. 1, pp. 73-89. 2018. https://doi.org/10.31614/cmes.2018.04063



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