Application of Orthogonal Experimental Design on Reliability and Sensitivity Analysis
- 1 February 2011
- journal article
- Published by Trans Tech Publications, Ltd. in Advanced Materials Research
- Vol. 211-212, 651-655
- https://doi.org/10.4028/www.scientific.net/amr.211-212.651
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.This publication has 2 references indexed in Scilit:
- Survey of sampling-based methods for uncertainty and sensitivity analysisReliability Engineering & System Safety, 2006
- A fast approximate method for parameter sensitivity estimation in Monte Carlo structural reliabilityComputers & Structures, 2004