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http://dx.doi.org/10.14775/ksmpe.2020.19.12.070

A Reliability Analysis Application and Comparative Study on Probabilistic Structure Design for an Automatic Salt Collector  

Song, Chang Yong (Dept. of Naval Architecture and Ocean Engineering, Mokpo National University)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.19, no.12, 2020 , pp. 70-79 More about this Journal
Abstract
This paper describes a comparative study of characteristics of probabilistic design using various reliability analysis methods in the structure design of an automatic salt collector. The thickness sizing variables of the main structural member were considered to be random variables, including the uncertainty of corrosion, which would be an inevitable hazard in the work environment of the automatic salt collector. Probabilistic performance functions were selected from the strength performances of the automatic salt collector structure. First-order reliability method, second-order reliability method, mean value reliability method, and adaptive importance sampling method were applied during the reliability analyses. The probabilistic design performances such as reliability probability and numerical costs based on the reliability analysis methods were compared to the Monte Carlo simulation results. The adaptive importance sampling method showed the most rational results for the probabilistic structure design of the automatic salt collector.
Keywords
Automatic Salt Collector; Probabilistic Structure Design; Reliability Analysis; Adaptive Importance Sampling Method;
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Times Cited By KSCI : 6  (Citation Analysis)
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