A stochastic simulation algorithm for updating robust reliability of nonlinear structural dynamic systems based on incomplete modal data
Cheung, Sai Hung
Date of Issue2014
International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA) (2nd : 2014 : Liverpool, UK)
School of Civil and Environmental Engineering
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.
© 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].