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Multidisciplinary robust design optimization based on time-varying sensitivity analysis

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Abstract

The performance of complex mechanical systems often degrades over time primarily due to time-varying uncertainties. Improving the design of such systems entails addressing time-varying uncertainties through Multidisciplinary design optimization (MDO). In this study, a multidisciplinary robust design optimization method that is based on time-varying sensitivity analysis is proposed. First, the indices for the time-varying reliability sensitivity of limit state functions are calculated by combining sensitivity analysis and an empirical correction formula. The propagation effects of these time-varying uncertainties are qualified by combining the simplified implicit uncertainty propagation and sequential quadratic programming methods. Finally, the robust design method is integrated with MDO to reduce the effects of time-varying uncertainties. The feasibility and effectiveness of the proposed method are illustrated with a mathematical problem and an engineering example.

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Authors and Affiliations

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

    Huanwei Xu, Wei Li, Mufeng Li, Cong Hu, Suichuan Zhang & Xin Wang

Authors
  1. Huanwei Xu
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  2. Wei Li
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  3. Mufeng Li
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  4. Cong Hu
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  5. Suichuan Zhang
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  6. Xin Wang
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Corresponding author

Correspondence to Huanwei Xu.

Additional information

Recommended by Associate Editor Byeng Dong Youn

Huanwei Xu is currently an Associate Professor at the School of Mechatronics Engineering of the University of Electronic Science and Technology of China in Chengdu, Sichuan, China. He received his Ph.D. in Mechanical Engineering from the Dalian University of Technology in Dalian, China. He has published 20 journal papers, and his research interests include multidisciplinary design optimization and robust and reliability designs.

Wei Li is currently studying at the School of Mechatronics Engineering of the University of Electronic Science and Technology of China as a graduate student. His main research interests include uncertainty analysis, sensitivity analysis, and MDO.

Mufeng Li is studying at the University of Electronic Science and Technology of China as a graduate student. His main research interest is robust design.

Cong Hu is currently studying at the University of Electronic Science and Technology of China as a graduate student under the guidance of Professor Huanwei Xu. His main research interests include time-dependent multidisciplinary optimization design.

Suichuan Zhang is studying at the University of Electronic Science and Technology of China as a graduate student. His main research direction is structural strength optimization, life prediction, and multidisciplinary design optimization.

Xin Wang is currently studying at the University of Electronic Science and Technology of China as a graduate student. His main research interests are engineering design and optimization.

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Xu, H., Li, W., Li, M. et al. Multidisciplinary robust design optimization based on time-varying sensitivity analysis. J Mech Sci Technol 32, 1195–1207 (2018). https://doi.org/10.1007/s12206-018-0223-8

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  • DOI: https://doi.org/10.1007/s12206-018-0223-8

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