Structural Reliability Analysis Using Fourier Orthogonal Neural Network Method

Li Rong Sha; Yue Yang

doi:10.4028/www.scientific.net/AMR.838-841.360

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 838-841Structural Reliability Analysis Using Fourier...

Structural Reliability Analysis Using Fourier Orthogonal Neural Network Method

Abstract:

In order to predict the failure probability of a complicated structure, the structural responses usually need to be predicted by a numerical procedure, such as FEM method. The response surface method could be used to reduce the computational effort required for reliability analysis. However the conventional response surface method is still time consuming when the number of random variables is large. In this paper, a Fourier orthogonal neural network (FONN)-based response surface method is proposed. In this method, the relationship between the random variables and structural responses is established using FONN models. Then the FONN model is connected to the first order and second moment method (FORM) to predict the failure probability. Numerical example result shows that the proposed approach is efficient and accurate, and is applicable to structural reliability analysis.

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Periodical:

Advanced Materials Research (Volumes 838-841)

Pages:

360-363

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.838-841.360

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Online since:

November 2013

Authors:

Li Rong Sha, Yue Yang

Keywords:

Artificial Neural Network (ANN), Orthogonal Function, Reliability, Response Method

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