Application of Orthogonal Experimental Design on Reliability and Sensitivity Analysis

Article Preview

Abstract:

In the present paper, the effects of four structural parameters at three levels on the reliability and sensitivity of structure are investigated. Sensitivity of parameters is achieved by the range analysis and the significance of parameters is achieved by the variance analysis. A response surface based on orthogonal experimental design and finite element calculations is elaborated so that the relation between the random input variables and structural responses could be established. The First-Order Reliability Method (FORM) as an approximated method is used here to assess the reliability. Comparing with the results of Monte Carlo simulations by ANSYS for a numerical example, the effect of sensitivity analysis has been proved, while the precision of the reliability and sensitivity should be improved in the future.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 211-212)

Pages:

651-655

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J.C. Helton, J.D. Johnson and C.J. Sallaberry: Reliab. Eng. Syst. Safety, Vol. 91 (2006), p.1175.

Google Scholar

[2] R.E. Melchers and M. Ahammed: Comput. Struct., Vol. 82 (2004), p.55.

Google Scholar

[3] G. Taguchi: System of experimental design: engineering methods to optimize quality and minimize costs, White Plains, NY: UNIPUB (1988).

Google Scholar

[4] X. Wang, X. Wu and B. Wang: J. China University of Petroleum (Edition of Natural Science), Vol. 34 (2010), p.52, in Chinese.

Google Scholar

[5] W. Zhang and H. Yu: Safety and Environmental Engineering, Vol. 16 (2009), p.13, in Chinese.

Google Scholar

[6] C. Xu and G. Ye: Hydrogeology and Engineering Geology, Vol. 1 (2004), p.95, in Chinese.

Google Scholar

[7] C. Huang, D. Zhou and Z. Wu: Acta Electronica Sinica, Vol. 26 (2007), p.1434, in Chinese.

Google Scholar

[8] D.E. Goldberg and E.C. Paz: Computer Methods in Applied Mechanics and Engineering, Vol. 186 (2000), p.221.

Google Scholar