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International Conference on Mechanical Design

ICMD 2017: Advances in Mechanical Design pp 507–521Cite as

A Novel Reliability-Based Design Optimization Method Using Ensemble of Metamodels

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Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 55))

Abstract

Metamodels have been introduced in reliability-based design optimization (RBDO) to approximate the complex black-box performance function widely existed in today’s engineering design problems. To further improve the suitability and effectiveness of existing methods, a novel ensemble of metamodels based RBDO method (EM-RBDO) is proposed in this paper. In EM-RBDO, polynomial response surface (PRS), support vector regression (SVR) and Kriging are combined to construct a weighted average surrogate model (ensemble of metamodels). The weight coefficients are calculated according to prediction ability of different metamodels. Inherited Latin Hypercube Sampling (ILHS) method with the initial design as inherited point is applied to generate the samples to build metamodels. Then monte carlo simulation (MCS) combined with sequential approximate programming (SAP) are used to calculate the optimal design. The proposed EM-RBDO model is compared with the single-metamodel based RBDO method on three analytical examples. The comparison results demonstrate that RBDO using the proposed method is superior to other methods in terms of robustness.

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Acknowledgements

This project is supported by National Natural Science Foundation of China (Grant No. 51405302, U1404621 and 51675198), Training program for young backbone teachers of institutions of higher learning in Henan (Grant No. 2015GGJS-183), 973 National Basic Research Program of China (Grant No. 2014CB046705).

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Authors and Affiliations

  1. Henan Key Laboratory of Mechanical Equipment Intelligent Manufacturing, School of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Xiaoke Li, Yanqiu Xiao & Jun Ma

  2. College of Mechanical Engineering, Donghua University, Shanghai, 201620, China

    Zhenzhong Chen

  3. The State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

    Haobo Qiu & Chen Jiang

Authors
  1. Xiaoke Li
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  2. Zhenzhong Chen
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  3. Haobo Qiu
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  4. Chen Jiang
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  5. Yanqiu Xiao
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  6. Jun Ma
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Corresponding authors

Correspondence to Yanqiu Xiao or Jun Ma .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Jianrong Tan

  2. Shanghai Jiao Tong University , Shanghai, China

    Feng Gao

  3. Beijing Institution of Technology, Beijing, China

    Changle Xiang

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© 2018 Springer Nature Singapore Pte Ltd.

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Li, X., Chen, Z., Qiu, H., Jiang, C., Xiao, Y., Ma, J. (2018). A Novel Reliability-Based Design Optimization Method Using Ensemble of Metamodels. In: Tan, J., Gao, F., Xiang, C. (eds) Advances in Mechanical Design. ICMD 2017. Mechanisms and Machine Science, vol 55. Springer, Singapore. https://doi.org/10.1007/978-981-10-6553-8_35

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  • DOI: https://doi.org/10.1007/978-981-10-6553-8_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6552-1

  • Online ISBN: 978-981-10-6553-8

  • eBook Packages: EngineeringEngineering (R0)

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