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Title: A hybrid approach for global sensitivity analysis
Authors: Chakraborty S.
Chowdhury, Rajib
Published in: Reliability Engineering and System Safety
Abstract: Distribution based sensitivity analysis (DSA) computes sensitivity of the input random variables with respect to the change in distribution of output response. Although DSA is widely appreciated as the best tool for sensitivity analysis, the computational issue associated with this method prohibits its use for complex structures involving costly finite element analysis. For addressing this issue, this paper presents a method that couples polynomial correlated function expansion (PCFE) with DSA. PCFE is a fully equivalent operational model which integrates the concepts of analysis of variance decomposition, extended bases and homotopy algorithm. By integrating PCFE into DSA, it is possible to considerably alleviate the computational burden. Three examples are presented to demonstrate the performance of the proposed approach for sensitivity analysis. For all the problems, proposed approach yields excellent results with significantly reduced computational effort. The results obtained, to some extent, indicate that proposed approach can be utilized for sensitivity analysis of large scale structures. ¬© 2016 Elsevier Ltd
Citation: Reliability Engineering and System Safety(2017), 158(): 50-57
Issue Date: 2017
Publisher: Elsevier Ltd
Keywords: Global sensitivity analysis
Structural mechanics
Uncertainty analysis
ISSN: 9518320
Author Scopus IDs: 56242780800
Author Affiliations: Chakraborty, S., Department of Civil Engineering, IIT Roorkee, Roorkee, India
Chowdhury, R., Department of Civil Engineering, IIT Roorkee, Roorkee, India
Funding Details: SC acknowledges the support of MHRD, Government of India. RC acknowledges the support of CSIR via grant no. 22(0712)/16/EMR-II.
Corresponding Author: Chakraborty, S.; Department of Civil Engineering, IIT RoorkeeIndia; email:
Appears in Collections:Journal Publications [CE]

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