Reliability-Based Structural Optimization Using Hybrid High Dimensional Model Representation
Year: 2013
Type: article
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.
Source: Applied Mechanics and Materials
Authors: Wei Tao Zhao, Cheng Kui Niu, Lei Jia
Institution: Shenyang Aerospace University
Language: English
Subfield: Computational Mechanics
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2068032093