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G. Li and Z. Meng

Department of Engineering Mechanics, State Key Laboratory of Structural Analyses for Industrial Equipment, Dalian University of Technology, China

doi:10.4203/ccp.106.136

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G. Li, Z. Meng, "An Adaptive Reliability-Based Design Optimization Approach using Modified Chaos Control Method", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 136, 2014. doi:10.4203/ccp.106.136

Keywords: reliability-based design optimization, performance measure approach, chaos control, angel updated strategy, efficient, robust..

Summary

In this paper, the adaptive chaos control (ACC) method is employed for the sequential optimization and reliability assessment (SORA) to provide an efficient and robust reliability-based design optimization (RBDO) approach. The stability transformation method is used to ensure the robustness of the advanced mean value (AMV) method for searching the most probable target point (MPTP). The angel update strategy is also employed for updating the chaos control factor adaptively according to the performance measure function type. The results of the numerical examples illustrate that the ACC method searches the MPTP correctly and the proposed RBDO approach performs well for the RBDO model with different types of performance measure functions.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 106 PROCEEDINGS OF THE TWELFTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: Paper 136 An Adaptive Reliability-Based Design Optimization Approach using Modified Chaos Control Method G. Li and Z. Meng Department of Engineering Mechanics, State Key Laboratory of Structural Analyses for Industrial Equipment, Dalian University of Technology, China doi:10.4203/ccp.106.136 purchase the full-text of this paper Full Bibliographic Reference for this paper G. Li, Z. Meng, "An Adaptive Reliability-Based Design Optimization Approach using Modified Chaos Control Method", in , (Editors), "Proceedings of the Twelfth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 136, 2014. doi:10.4203/ccp.106.136 Keywords: reliability-based design optimization, performance measure approach, chaos control, angel updated strategy, efficient, robust.. Summary In this paper, the adaptive chaos control (ACC) method is employed for the sequential optimization and reliability assessment (SORA) to provide an efficient and robust reliability-based design optimization (RBDO) approach. The stability transformation method is used to ensure the robustness of the advanced mean value (AMV) method for searching the most probable target point (MPTP). The angel update strategy is also employed for updating the chaos control factor adaptively according to the performance measure function type. The results of the numerical examples illustrate that the ACC method searches the MPTP correctly and the proposed RBDO approach performs well for the RBDO model with different types of performance measure functions. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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