Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7195874 | Reliability Engineering & System Safety | 2014 | 11 Pages |
Abstract
The paper presents a fairly efficient approximation for the computation of variance-based sensitivity measures associated with a general, n-dimensional function of random variables. The proposed approach is based on a multiplicative version of the dimensional reduction method (M-DRM), in which a given complex function is approximated by a product of low dimensional functions. Together with the Gaussian quadrature, the use of M-DRM significantly reduces the computation effort associated with global sensitivity analysis. An important and practical benefit of the M-DRM is the algebraic simplicity and closed-form nature of sensitivity coefficient formulas. Several examples are presented to show that the M-DRM method is as accurate as results obtained from simulations and other approximations reported in the literature.
Related Topics
Physical Sciences and Engineering
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Authors
Xufang Zhang, Mahesh D. Pandey,