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Reliability-Based Design Optimization

In: Engineering Design under Uncertainty and Health Prognostics

Author

Listed:
  • Chao Hu

    (Iowa State University
    Iowa State University)

  • Byeng D. Youn

    (Seoul National University)

  • Pingfeng Wang

    (University of Illinois at Urbana–Champaign)

Abstract

As mentioned in earlier chapters, many system failures can be traced back to various difficulties in evaluating and designing complex systems under highly uncertain manufacturing and operational conditions. Our attempt to address this challenge continues with the discussion of reliability-based design optimization (RBDO). RBDO is a probabilistic approach to engineering system design that accounts for the stochastic nature of engineered systems. Our discussion of RBDO will cover the problem statement and formulation of RBDO as well as several probabilistic design approaches for RBDO.

Suggested Citation

  • Chao Hu & Byeng D. Youn & Pingfeng Wang, 2019. "Reliability-Based Design Optimization," Springer Series in Reliability Engineering, in: Engineering Design under Uncertainty and Health Prognostics, chapter 0, pages 187-231, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-319-92574-5_7
    DOI: 10.1007/978-3-319-92574-5_7
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    Cited by:

    1. Bansal, Parth & Zheng, Zhuoyuan & Shao, Chenhui & Li, Jingjing & Banu, Mihaela & Carlson, Blair E & Li, Yumeng, 2022. "Physics-informed machine learning assisted uncertainty quantification for the corrosion of dissimilar material joints," Reliability Engineering and System Safety, Elsevier, vol. 227(C).
    2. Xiao, Mi & Zhang, Jinhao & Gao, Liang, 2021. "A Kriging-assisted sampling method for reliability analysis of structures with hybrid uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 210(C).

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