Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/100197
Title: Bayesian model updating of stochastic dynamic soil-structure interaction systems with multiple resolutions
Authors: Bansal, Sahil
Cheung, Sai Hung
Keywords: DRNTU::Engineering
Issue Date: 2012
Source: Bansal, S., & Cheung, S. H. (2012) Bayesian model updating of stochastic dynamic soil-structure interaction systems with multiple resolutions. Proceedings of the 10th World Congress on Computational Mechanics 2012, 3338-3346.
Conference: 10th World Congress on Computational Mechanics
Abstract: In this paper, the problem of stochastic modeling of dynamic soil-structure interaction systems and the corresponding model updating problem are considered. Ambient vibration or seismic vibration data can be used to update the model properties of dynamic soil-structure interaction systems. Most existing works for model updating of these types of systems consider only one choice of resolution without paying much attention to the effect of model resolution. In this paper, a Bayesian model updating methodology based on stochastic model classes with multiple resolutions is proposed. The effect of model resolution on the result of the Bayesian model updating will be shown. The proposed methods are illustrated with an example involving a dynamic soil-building-structure system.
URI: https://hdl.handle.net/10356/100197
http://hdl.handle.net/10220/24088
DOI: 10.5151/10.5151/meceng-wccm2012-19339
Schools: School of Civil and Environmental Engineering 
Rights: © 2012 The Authors (published by Blucher Proceedings). This paper was published in Proceedings of the 10th World Congress on Computational Mechanics 2012 and is made available as an electronic reprint (preprint) with permission of Blucher Proceedings. The paper can be found at the following official DOI: [http://dx.doi.org/10.5151/10.5151/meceng-wccm2012-19339].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Conference Papers

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