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Volume 55 Issue 5
Oct.  2020
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Article Contents
Journal of Southwest Jiaotong University  > 2020  >  55(5): 1028-1035.
HAO Runxia, WANG Mouting, JIA Shuo, LI Gang. Static Pushover Analysis of Frame Structure Based on Force Analogy Method[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 1028-1035. doi: 10.3969/j.issn.0258-2724.20180100
Citation: HAO Runxia, WANG Mouting, JIA Shuo, LI Gang. Static Pushover Analysis of Frame Structure Based on Force Analogy Method[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 1028-1035. doi: 10.3969/j.issn.0258-2724.20180100
shu

Static Pushover Analysis of Frame Structure Based on Force Analogy Method

doi: 10.3969/j.issn.0258-2724.20180100
  • Received Date: 14 Feb 2018
  • Rev Recd Date: 25 May 2020
    • Available Online: 19 Jun 2020
  • Publish Date: 01 Oct 2020
    Abstract
  • In traditional pushover analysis, solving nonlinear deformation need to update and decompose global stiffness matrix in real time, which costs many computing resources. The static pushover analysis for nonlinear fiber beam element is conducted on the basis of the force analogy method (FAM). Firstly, the elastic displacement under the lateral load was calculated by the factorization of elastic stiffness matrix before the iteration of nonlinear deformation. Secondly, the computational cost of back iteration was decreased by utilizing the factorization result of elastic stiffness matrix and elastic displacement during iterations. Finally, the algorithm complexity theory was utilized to evaluate the efficiency of the proposed algorithm and a classical method. The computational results and algorithm time complexity of the two methods were compared through a numerical results of 2D eight-floor frame structure. Results show that with two methods the vertex displacement-base shear curve basically coincides as well as the story drift curve, and the maximum error of story drift is on the 3rd floor with 3.72%. Compared with the traditional method, the algorithm complexity of the proposed method is decreased about 80%, and its computing efficiency is increased at least five times.

     

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