Neural network for structural stress concentration factors in reliability-based optimization-Reference-Cited by-同舟云学术

Neural network for structural stress concentration factors in reliability-based optimization

Published:2006-03-01 Issue:3 Volume:220 Page:217-224
ISSN:0954-4100
Container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering
language:en
Short-container-title:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Author:

Zhang Y M¹,Zhang L²,Zheng J X²,Wen B C¹

Affiliation:

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, People's Republic of China

2. College of Mechanical Science and Engineering, Nanling Campus, Jilin University, Changchun, People's Republic of China

Abstract

Stress concentration damage is one of the most troublesome problems in practical engineering structures. In order to reduce damage, it is very important to determine stress concentration factors accurately. An artificial neural network (NN) technique has been used in this article to simulate the relationship between basic random variables and stress concentration factors, and the explicit expression of the stress concentration factors can be obtained directly. The expression of the stress concentration and the reliability theory have been combined to solve the structural reliability problems; then, the corresponding methods of reliability analysis and optimization design have been presented.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Aerospace Engineering

Link

http://journals.sagepub.com/doi/pdf/10.1243/09544100G00505

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