4.7 Article

Sequential optimization and fuzzy reliability analysis for multidisciplinary systems

Journal

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
Volume 60, Issue 3, Pages 1079-1095

Publisher

SPRINGER
DOI: 10.1007/s00158-019-02258-y

Keywords

Reliability-based multidisciplinary design optimization; Sequential optimization and reliability analysis; Fuzzy reliability analysis; Adaptive collocation method; Shifting distance

Funding

  1. National Nature Science Foundation of China [11602012, 11432002]
  2. Defense Industrial Technology Development Program [JCKY2016204B101]
  3. Preresearch Field Foundation of Equipment Development Department of China [61402100103]
  4. Aeronautical Science Foundation of China [2017ZA51012]
  5. postgraduate innovation practice fund of Beihang University [YCSJ-01-2018-06]

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To meet the rising demand for high reliability in complex multidisciplinary engineering systems, more attention has been paid to reliability-based multidisciplinary design optimization (RBMDO). In this paper, a sequential optimization and fuzzy reliability analysis (SOFRA) method for multidisciplinary systems is developed to decouple the fuzzy reliability analysis from the optimization. In SOFRA, the multidisciplinary design optimization (MDO) and fuzzy reliability analysis are conducted in a sequential manner. Furthermore, a novel adaptive collocation method (ACM) is proposed to conduct the fuzzy reliability analysis for multidisciplinary systems. The ACM arranges points adaptively at the axis of the membership to obtain more accurate results. The shifting distance of the constraint is calculated by the bi-section method. Both numerical and engineering examples are used to demonstrate the validity of the proposed method.

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