Reliability based design optimization has received increasing attention for satisfying high requirements on reliability and safety in structure design. However, in practical engineering design, there are both continuous and discrete design variables. Moreover, both aleatory uncertainty and epistemic uncertainty may associate with design variables. This paper proposes the formulation of random/fuzzy continuous/discrete variables design optimization (RFCDV-DO) and two different approaches for uncertainty analysis (probability/possibility analysis). A method named random/fuzzy sequential optimization and reliability assessment is proposed based on the idea of sequential optimization and reliability assessment to improve efficiency in solving RFCDV-DO problems. An engineering design problem is utilized to demonstrate the approaches and the efficiency of the proposed method.
Skip Nav Destination
e-mail: hzhuang@uestc.edu.cn
Article navigation
March 2009
Research Papers
Design Optimization With Discrete and Continuous Variables of Aleatory and Epistemic Uncertainties
Hong-Zhong Huang,
Hong-Zhong Huang
School of Mechatronics Engineering,
e-mail: hzhuang@uestc.edu.cn
University of Electronic Science and Technology of China
, Chengdu, Sichuan 610054, China
Search for other works by this author on:
Xudong Zhang
Xudong Zhang
School of Mechatronics Engineering,
University of Electronic Science and Technology of China
, Chengdu, Sichuan 610054, China
Search for other works by this author on:
Hong-Zhong Huang
School of Mechatronics Engineering,
University of Electronic Science and Technology of China
, Chengdu, Sichuan 610054, Chinae-mail: hzhuang@uestc.edu.cn
Xudong Zhang
School of Mechatronics Engineering,
University of Electronic Science and Technology of China
, Chengdu, Sichuan 610054, ChinaJ. Mech. Des. Mar 2009, 131(3): 031006 (8 pages)
Published Online: February 5, 2009
Article history
Received:
January 31, 2008
Revised:
November 11, 2008
Published:
February 5, 2009
Citation
Huang, H., and Zhang, X. (February 5, 2009). "Design Optimization With Discrete and Continuous Variables of Aleatory and Epistemic Uncertainties." ASME. J. Mech. Des. March 2009; 131(3): 031006. https://doi.org/10.1115/1.3066712
Download citation file:
Get Email Alerts
Related Articles
A Unified Framework for Integrated Optimization Under Uncertainty
J. Mech. Des (May,2010)
A Design Optimization Method Using Evidence Theory
J. Mech. Des (July,2006)
Saddlepoint Approximation for Sequential Optimization and Reliability Analysis
J. Mech. Des (January,2008)
Adaptive Designs of Experiments for Accurate Approximation of a Target Region
J. Mech. Des (July,2010)
Related Proceedings Papers
Related Chapters
Establishing Unmanning Criteria for a Jacket Structure on the NCS
Ageing and Life Extension of Offshore Facilities
A PSA Update to Reflect Procedural Changes (PSAM-0217)
Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM)
Routing Protocols in Wireless Mesh Networks
International Conference on Future Computer and Communication, 3rd (ICFCC 2011)