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System‐level reliability sensitivity analysis by using weighted average simulation method
Author(s) -
Rashki Mohsen,
Azhdary Moghaddam Mehdi,
Miri Mahmoud
Publication year - 2019
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2478
Subject(s) - reliability (semiconductor) , sensitivity (control systems) , monte carlo method , nonlinear system , flexibility (engineering) , computer science , function (biology) , reliability engineering , algorithm , mathematical optimization , mathematics , engineering , statistics , power (physics) , physics , quantum mechanics , electronic engineering , evolutionary biology , biology
In addition to reliability analysis, investigation of the uncertainties' effect on the safety of structures can be regarded as one of the great concerns in engineering fields. The present study provides an efficient perturbation‐based reliability sensitivity analysis approach based on weighted average simulation method (WASM) to attain uncertainties effects on the structures safety. Without asking additional samplings and/or requiring to function derivation (that is necessary in score function method), the proposed approach simultaneously uses the finite difference and weight flexibility feature of WASM to estimate the parameter sensitivities of a reliability problem. The proposed method has also been successfully applied to the improved version of WASM to obtain reliability based sensitivity results with very few samples. The accuracy and efficiency of the proposed method is examined by solving five analytical and engineering examples with highly nonlinear performance functions and system‐level reliability problems. For each example, results are compared with those obtained by Monte Carlo simulation and common reliability methods. It is shown that the method is capable of solving real world system‐level engineering problems efficiently and accurately.