Structural Reliability Optimization with Fourier Orthogonal Neural Network Method

Article Preview

Abstract:

The structural optimization design considering reliability requirements was proposed based on Fourier orthogonal neural network method. The reliability-based optimization design of the structure is a combination of the structural reliability theory and mathematical optimization methods. The Fourier orthogonal neural network was used to analysis reliability of the structure and also to simulate the relationship between the fatigue reliability and geometry dimension of the structure. The structural reliability requirements were taken as constraints while the structural volume as the objective function, with Fourier orthogonal neural network method, the optimization results of the structure was obtained with a minimum cost, thus can make technical and economic benefits besides the structural reliability.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 834-836)

Pages:

1907-1910

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] K. Hornik, M. Stinchcombe, H. White: Universal approximation of an unknown mapping and its derivatives using multi-layer feed-forward networks. Neural Networks. Vol. 3 (1990), pp.551-60.

DOI: 10.1016/0893-6080(90)90005-6

Google Scholar

[2] O. J. V. Chapman, A. D. Crossland: Neural networks in probabilistic structural mechanics. In: Sundararajan C, editor. Probabilistic structural mechanics handbook: theory and industrial application. New York: Chapman & Hall, (1995), pp.317-30.

DOI: 10.1007/978-1-4615-1771-9_14

Google Scholar

[3] J. Deng, H. H. Zhu: Finite element Monte-Carlo method using neural networks for geotechnical reliability analysis. J Tongji Univ. Vol. 3 (2002), pp.269-72.

Google Scholar

[4] R. Courant, D. Hilbert: Methods of Mathematical Physics. New York: Interscience Publishers, (1955).

Google Scholar

[5] H. P. Huan, J. J. Cheng: Unstable Backpropagation Method in Neural Networks: A Remedy. The Second International Conference on Automation Technology. Vol. 1 (1992) , pp.249-55.

Google Scholar

[6] I. Kaymaz, K. Marti: Reliability-based design optimization for elastoplastic mechanical structures. Computers and Structures. Vol. 85 ( 2007), p.615–25.

DOI: 10.1016/j.compstruc.2006.08.076

Google Scholar