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Multidisciplinary design optimization with discrete and continuous variables of various uncertainties

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Abstract

As a powerful design tool, Reliability Based Multidisciplinary Design Optimization (RBMDO) has received increasing attention to satisfy the requirement for high reliability and safety in complex and coupled systems. In many practical engineering design problems, design variables may consist of both discrete and continuous variables. Moreover, both aleatory and epistemic uncertainties may exist. This paper proposes the formula of RFCDV (Random/Fuzzy Continuous/Discrete Variables) Multidisciplinary Design Optimization (RFCDV-MDO), uncertainty analysis for RFCDV-MDO, and a method of RFCDV-MDO within the framework of Sequential Optimization and Reliability Assessment (RFCDV-MDO-SORA) to solve RFCDV-MDO problems. A mathematical problem and an engineering design problem are used to demonstrate the efficiency of the proposed method.

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Acknowledgements

This research was partially supported by the National Natural Science Foundation of China under the contract number 50775026 and the Specialized Research Fund for the Doctoral Program of Higher Education of China under the contract number 20090185110019.

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Authors and Affiliations

  1. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, 611731, People’s Republic of China

    Xudong Zhang, Hong-Zhong Huang & Huanwei Xu

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  1. Xudong Zhang
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  2. Hong-Zhong Huang
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  3. Huanwei Xu
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Correspondence to Hong-Zhong Huang.

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Zhang, X., Huang, HZ. & Xu, H. Multidisciplinary design optimization with discrete and continuous variables of various uncertainties. Struct Multidisc Optim 42, 605–618 (2010). https://doi.org/10.1007/s00158-010-0513-y

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  • DOI: https://doi.org/10.1007/s00158-010-0513-y

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