Reliability-based robust multi-objective optimization applied to engineering system design. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Lobato, Fran Sérgio; da Silva, Márcio Aurelio; Cavalini Jr, Aldemir Ap; Steffen Jr, Valder
• Is Part Of: Engineering optimization. Volume 52:Issue 1(2020)
• Page Start: 1
• Page End: 21
• Publication Date: 2020-01-02
• Subjects: Reliability-based design -- robust design -- multi-objective optimization -- engineering systems -- differential evolution; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2019.1577413
• Languages: English
• ISSNs: 0305-215X

Abstract

ABSTRACT: Probabilistic and non-probabilistic methods have been proposed to deal with design problems under uncertainties. Reliability-based design and robust design are probabilistic strategies traditionally used for this purpose. In the present contribution, reliability-based robust design optimization (RBRDO) is formulated as a multi-objective problem considering the interaction of both approaches. The proposed methodology is based on the differential evolution algorithm associated with two strategies to deal with reliability and robustness, respectively, namely inverse reliability analysis and the effective mean concept. This multi-objective optimization problem considers the maximization of reliability and robustness coefficients as additional objective functions. The effectiveness of the methodology is illustrated by two classical test cases and a rotor-dynamics application. The results demonstrate that the proposed methodology is an alternative method to solve RBRDO problems.