Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100490
Title: A stochastic simulation algorithm for updating robust reliability of nonlinear structural dynamic systems based on incomplete modal data
Authors: Cheung, Sai Hung
Bansal, Sahil
Keywords: DRNTU::Engineering::Civil engineering
Issue Date: 2014
Source: Cheung, S. H. & Bansal, S. (2014). A stochastic simulation algorithm for updating robust reliability of nonlinear structural dynamic systems based on incomplete modal data. Vulnerability, uncertainty, and risk : quantification, mitigation, and management, 1574-1583.
Abstract: In this paper, we are interested in using the incomplete modal data identified from the system to update the robust failure probability that any particular response of a nonlinear structural dynamic system exceeds a specified threshold during the time when it is subjected to future stochastic dynamic excitation. Uncertainties from structural modeling, the modeling of the stochastic excitation that the structure will experience during its lifetime and any other uncertainties can all be taken into account. A new efficient approach based on stochastic simulation methods, which is very robust to the number of random variables and uncertain model parameters, is proposed to update the robust reliability of the structure. The efficiency and effectiveness of the proposed approach are illustrated by a numerical example involving a nonlinear structural dynamic model of a building.
URI: https://hdl.handle.net/10356/100490
http://hdl.handle.net/10220/24108
DOI: http://dx.doi.org/10.1061/9780784413609.158
Rights: © 2014 American Society of Civil Engineers. This is the author created version of a work that has been peer reviewed and accepted for publication by Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, American Society of Civil Engineers. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1061/9780784413609.158].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Conference Papers

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