Please use this identifier to cite or link to this item: https://idr.l2.nitk.ac.in/jspui/handle/123456789/13822
Title: Multicut-high dimensional model representation for reliability bounds estimation
Authors: Balu A.S.
Rao B.N.
Issue Date: 2015
Citation: Numerical Methods for Reliability and Safety Assessment: Multiscale and Multiphysics Systems, 2015, Vol., pp.499-510
Abstract: The structural reliability analysis in presence of mixed uncertain variables demands more computation as the entire configuration of fuzzy variables needs to be explored. The existence of multiple design points plays an important role in the accuracy of results as the optimization algorithms may converge to a local design point by neglecting the main contribution from the global design point. Therefore, in this chapter, a method for estimating the reliability bounds of structural systems involving multiple design points in presence of mixed uncertain variables is presented. The proposed method involves weight function to identify multiple design points, multicut-high dimensional model representation for the limit state function approximation, transformation technique to obtain the contribution of the fuzzy variables and fast Fourier transform for solving the convolution integral. © Springer International Publishing Switzerland 2015
URI: 10.1007/978-3-319-07167-1__18
http://idr.nitk.ac.in/jspui/handle/123456789/13822
Appears in Collections:3. Book Chapters

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