International Journal of Nonlinear Analysis and Applications

Application of graph theory and canonical forms in reliability analysis of symmetric structures

Document Type : Research Paper

Authors

1 Department of Civil Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran

2 Seismic Geotechnical and High Performance Concrete Research Centre

3 Department of Civil Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

Abstract

Many abilities of Monte Carlo simulation methods have led to their increasing use in solving various reliability problems of structures. These methods are based on generating random samples in order to simulate events and estimate their results. Achieving certain accuracy requires a significant number of simulation operations. Acceptable accuracies can be achieved with a smaller number of samples by adopting different approaches. In this article, for the first time, symmetric structures are analyzed using the theory of graphs and canonical forms, the frequency of the structures is calculated, and their reliability is also checked using these theories. Also, the study and investigation of the calculation of frequencies and eigenvectors corresponding to symmetric structural models from the point of view of the decomposition of the stiffness matrix in probabilistic reliability analysis, which we will achieve this goal by using the proposed theories. In this article, in addition to obtaining all canonical forms, the relationship between all canonical forms is obtained. Finally, a new Rayleigh-based theory called the proposed improved Rayleigh theory is presented, which is used to extract the natural frequencies of structures. Also, in this research, several samples of different frames and structures were presented using the proposed method and finally, numerical results were presented and the solution of the three-story frame with 24 degrees of freedom was presented. It can be seen from the results that the proposed method has a much higher speed and accuracy than the Monte Carlo method.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 14, Issue 11
November 2023
Pages 241-249
  • Receive Date: 08 November 2022
  • Revise Date: 15 January 2023
  • Accept Date: 18 February 2023