Reliability sensitivities with fuzzy random uncertainties using genetic algorithm
| Autor: | Ehsan Jahani, Parinaz Jafari |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Mechanical Engineering 020101 civil engineering 02 engineering and technology Building and Construction Interval (mathematics) Measure (mathematics) Fuzzy logic Domain (mathematical analysis) 0201 civil engineering Fuzzy random variable 020303 mechanical engineering & transports 0203 mechanical engineering Mechanics of Materials Genetic algorithm Sensitivity (control systems) Reliability (statistics) Civil and Structural Engineering Mathematics |
| Zdroj: | Structural Engineering and Mechanics. 60:413-431 |
| ISSN: | 1225-4568 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|