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System Identification Methods Applied to Measured Seismic Response

Beck, J. L. (1996) System Identification Methods Applied to Measured Seismic Response. In: Proceedings 11th World Conference on Earthquake Engineering. Elsevier , Paper No. 2004.

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A unified Bayesian statistical framework is described for system identification which can be used to extract important information for earthquake-resistant design from the measured seismic response of structures. In this approach, the "best" (optimal) models within a chosen class of models are those which are locally most probable based on the available data. Using the methodology, one can determine the prediction accuracy of the optimal structural models, the precision of the parameter estimates of these models as well as the precision of the optimal prediction-error probability models, the updated predictive probability density function for the structural response even when there are multiple optimal models, and a principle of parsimony for comparing different classes of models on the same data. The application of modal identification to measured seismic response from some buildings, a bridge and an off-shore platform is reviewed. An example is also given of how the methodology can be used to handle the nonuniqueness in structural model identification. This often arises in practice because of the low density of sensors which is typical of structural seismic instrumentation arrays.

Item Type:Book Section
Additional Information:© 1996 Elsevier Science Ltd. The author is currently on sabbatical leave at HKUST (Hong Kong University of Science and Technology) and the kind hospitality of Prof. J.C. Chen, Director of Research Center, is greatly appreciated. Discussions with Drs. Lambros Katafygiotis and Costas Papadimitriou at HKUST have also been most stimulating.
Subject Keywords:System identification; statistical inference; Bayesian statistics; structural dynamics; earthquake records
Record Number:CaltechAUTHORS:20120926-101708851
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:34426
Deposited By: Carmen Nemer-Sirois
Deposited On:18 Oct 2012 22:55
Last Modified:03 Oct 2019 04:18

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