Techno Press
Techno Press

Structural Engineering and Mechanics
  Volume 60, Number 3, November10 2016 , pages 413-431
DOI: https://doi.org/10.12989/sem.2016.60.3.413
 

Reliability sensitivities with fuzzy random uncertainties using genetic algorithm
Parinaz Jafari and Ehsan Jahani

 
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 y-cut approach. In fact, the fuzzy variables are transformed into the interval variables using the y-cut approach. Genetic approach considers different possible combinations within the search domain (y-cut) and calculates the parameter sensitivities for each of the combinations.
 
Key Words
    reliability; fuzzy random variables; sensitivity analysis; y-cut approach
 
Address
Parinaz Jafari and Ehsan Jahani: Department of Engineering and Technology, University of Mazandaran, babolsar, Mazandaran, Iran
 
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