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Probabilistic Structure Design of Automatic Salt Collector Using Reliability Based Robust Optimization

신뢰성 기반 강건 최적화를 이용한 자동채염기의 확률론적 구조설계

  • Song, Chang Yong (Dept. of Naval Architecture & Ocean Engineering, Mokpo National University)
  • 송창용 (목포대학교 조선해양공학과)
  • Received : 2020.08.11
  • Accepted : 2020.09.16
  • Published : 2020.10.31

Abstract

This paper deals with identification of probabilistic design using reliability based robust optimization in structure design of automatic salt collector. The thickness sizing variables of main structure member in the automatic salt collector were considered the random design variables including the uncertainty of corrosion that would be an inevitable hazardousness in the saltern work environment. The probabilistic constraint functions were selected from the strength performances of the automatic salt collector. The reliability based robust optimum design problem was formulated such that the random design variables were determined by minimizing the weight of the automatic salt collector subject to the probabilistic strength performance constraints evaluating from reliability analysis. Mean value reliability method and adaptive importance sampling method were applied to the reliability evaluation in the reliability based robust optimization. The three sigma level quality was considered robustness in side constraints. The probabilistic optimum design results according to the reliability analysis methods were compared to deterministic optimum design results. The reliability based robust optimization using the mean value reliability method showed the most rational results for the probabilistic optimum structure design of the automatic salt collector.

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