Structural Reliability Assessment Based on the Improved Constrained Differential Evolution Algorithm

  • Mohammad Zaeimi Faculty of Mechanical Engineering, Semnan University, Semnan, Iran
  • Ali Ghoddosian Faculty of Mechanical Engineering, Semnan University, Semnan, Iran

Abstract

In this work, the reliability analysis is employed to take into account the uncertainties in a structure. Reliability analysis is a tool to compute the probability of failure corresponding to a given failure mode. In this study, one of the most commonly used reliability analysis method namely first order reliability method is used to calculate the probability of failure. Since finding the most probable point (MPP) or design point is a constrained optimization problem, in contrast to all the previous studies based on the penalty function method or the preference of the feasible solutions technique, in this study one of the latest versions of the differential evolution metaheuristic algorithm named improved (μ+λ)-constrained differential evolution (ICDE) based on the multi-objective constraint-handling technique is utilized. The ICDE is very easy to implement because there is no need to the time-consuming task of fine tuning of the penalty parameters. Several test problems are used to verify the accuracy and efficiency of the ICDE. The statistical comparisons revealed that the performance of ICDE is better than or comparable with the other considered methods. Also, it shows acceptable convergence rate in the process of finding the design point. According to the results and easier implementation of ICDE, it can be expected that the proposed method would become a robust alternative to the penalty function based methods for the reliability assessment problems in the future works.

Keywords: reliability analysis, FORM, metaheuristic, ICDE algorithm, multi-objective constraint handling
Published online
2018-01-18
How to Cite
Zaeimi, M., & Ghoddosian, A. (2018). Structural Reliability Assessment Based on the Improved Constrained Differential Evolution Algorithm. Periodica Polytechnica Civil Engineering, 62(2), 494-507. https://doi.org/10.3311/PPci.11537
Section
Research Article