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Structural and Multidisciplinary Optimization

, Volume 59, Issue 6, pp 1969–1990 | Cite as

Decoupling uncertainty quantification from robust design optimization

  • Tanmoy ChatterjeeEmail author
  • Rajib Chowdhury
  • Palaniappan Ramu
Research Paper
  • 348 Downloads

Abstract

Robust design optimization (RDO) has been eminent in determining the optimal design of real-time complex systems under stochastic environment. Unlike conventional optimization, RDO involves uncertainty quantification which may render the procedure to be computationally intensive, if not prohibitive. In order to deal with such issues, an efficient approximation-based generalized RDO framework has been proposed. Since RDO formulation comprises of statistical terms of the performance functions, the proposed framework deals with approximation of those statistical quantities, rather than the performance functions. Consequently, the proposed framework allows transformation of the RDO problem to an equivalent deterministic one. As a result, unlike traditional surrogate-assisted RDO, the proposed framework yields desirable results in significantly less number of functional evaluations. For performing such response statistical approximation, two adaptive sparse refined Kriging-based computational models have been proposed. However, the generality of the proposed methodology allows any surrogate models to be employed within this framework, provided it is capable of capturing the functional non-linearity. Implementation of the proposed framework in three test examples and two finite element-based practical problems clearly illustrates its potential for further complicated applications.

Keywords

RDO Kriging HDMR PCE Compressive sampling Response statistics 

Notes

Acknowledgements

TC and RC acknowledge the support of CSIR via Grant No. 22(0712)/16/EMR-II.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  • Tanmoy Chatterjee
    • 1
    Email author
  • Rajib Chowdhury
    • 2
  • Palaniappan Ramu
    • 3
  1. 1.Department of Aerospace Engineering StructuresZienkiewicz Centre for Computational Engineering Swansea UniversitySwanseaUK
  2. 2.Department of Civil EngineeringIndian Institute of Technology RoorkeeRoorkeeIndia
  3. 3.Department of Engineering DesignIndian Institute of Technology MadrasChennaiIndia

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