Reliability-Based Structural Optimization Using Hybrid High Dimensional Model Representation

Abstract:

A design method of reliability-based structural optimization has a powerful advantage because some random variables can be considered. However, the sensitivity analysis of reliability with respect to random variables is very complicated and its computational cost is very expensive. Thus, in this paper, based on hybrid high dimensional model representation (HDMR) and first order second moment (FOSM) method, a new method for the reliability-based structural optimization is proposed. A numerical example is presented to demonstrate the computational efficiency of the proposed method. It is shown that the proposed method can reduce the number of finite element calculation and has the high efficiency.

• Periodical: Applied Mechanics and Materials (Volumes 353-356)
• Pages: 3155-3158
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.353-356.3155
• Online since: August 2013
• Authors: Wei Tao Zhao, Cheng Kui Niu, Lei Jia
• Keywords: Genetic Algorithm (GA), High Dimensional Model Representation, Reliability-Based Structural Optimization, Structural Reliability

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