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World Congress of Structural and Multidisciplinary Optimisation

WCSMO 2017: Advances in Structural and Multidisciplinary Optimization pp 289–298Cite as

Improved Sequential Optimization and Reliability Assessment for Reliability-Based Design Optimization

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Abstract

The sequential optimization and reliability assessment (SORA), which is a decoupled reliability-based design optimization (RBDO) method, is generally more efficient than conventional double-loop RBDO methods but less efficient than single-loop approaches because of the most probable point (MPP) search in the reliability assessment loop of SORA. This study presents improved SORA (ISORA) which is a single-loop version of SORA to further improve its efficiency. Simplified reliability assessment is performed at each iteration instead of the reliability assessment loop of SORA. The optimum with higher reliability than the deterministic optimum is searched by moving the limit state function toward the safe region utilizing a design shift vector in SORA which is approximated using the concept of the mean value method in ISORA. ISORA is divided into ISORAx and ISORAu in this study, according to the space used to define the approximated design shift vector. ISORAu is more effective than ISORAx because it does not need to approximate MPP and design point whereas ISORAx needs to approximate them for non-normal random variables. Numerical study shows that ISORAu is the most effective among RBDO methods tested in this study in terms of efficiency, accuracy and robustness.

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Acknowledgements

This work was partly supported by the Technology Innovation Program (10048305, Launching Plug-in Digital Analysis Framework for Modular system Design) funded by the Ministry of Trade, Industry & Energy (MI, Korea).

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Authors and Affiliations

  1. Korea Aerospace Research Institute, Daejeon, South Korea

    Sang-Hyeon Choi

  2. Korea Advanced Institute of Science and Technology, Daejeon, South Korea

    Sang-Hyeon Choi & Ikjin Lee

Authors
  1. Sang-Hyeon Choi
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  2. Ikjin Lee
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Corresponding author

Correspondence to Sang-Hyeon Choi .

Editor information

Editors and Affiliations

  1. Chair for Optimization of Mechanical Stuctures, Faculty for Mechanical Engineering and Safety Engineering, University of Wuppertal, Wuppertal, Germany

    Axel Schumacher

  2. Institute for Construction Enginnering, Technische Universität Braunschweig, Braunschweig, Germany

    Thomas Vietor

  3. Braunschweig, Germany

    Sierk Fiebig

  4. Chair of Structural Analysis, Technische University of Munich, Munich, Germany

    Kai-Uwe Bletzinger

  5. Engineering Center, ECAE 197, University of Colorado Boulder, Boulder, Colorado, USA

    Kurt Maute

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Choi, SH., Lee, I. (2018). Improved Sequential Optimization and Reliability Assessment for Reliability-Based Design Optimization. In: Schumacher, A., Vietor, T., Fiebig, S., Bletzinger, KU., Maute, K. (eds) Advances in Structural and Multidisciplinary Optimization. WCSMO 2017. Springer, Cham. https://doi.org/10.1007/978-3-319-67988-4_21

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  • DOI: https://doi.org/10.1007/978-3-319-67988-4_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67987-7

  • Online ISBN: 978-3-319-67988-4

  • eBook Packages: EngineeringEngineering (R0)

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