Structural Engineering and Mechanics

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Reliability sensitivities with fuzzy random uncertainties using genetic algorithm

  • Jafaria, Parinaz (Department of Engineering and Technology, University of Mazandaran) ;
  • Jahani, Ehsan (Department of Engineering and Technology, University of Mazandaran)
  • Received : 2015.04.12
  • Accepted : 2016.08.23
  • Published : 2016.11.10
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Abstract

A sensitivity analysis estimates the effect of the change in the uncertain variable parameter on the probability of the structural failure. A novel fuzzy random reliability sensitivity measure of the failure probability is proposed to consider the effect of the epistemic and aleatory uncertainties. The uncertainties of the engineering variables are modeled as fuzzy random variables. Fuzzy quantities are treated using the ${\lambda}$-cut approach. In fact, the fuzzy variables are transformed into the interval variables using the ${\lambda}$-cut approach. Genetic approach considers different possible combinations within the search domain (${\lambda}$-cut) and calculates the parameter sensitivities for each of the combinations.

Keywords

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