Beck, James L. (1989) Statistical System Identification of Structures. In: Proceedings of ICOSSAR ’89, the 5th International Conference on Structural Safety and Reliability, San Francisco, August 7-11, 1989. ASCE , New York, pp. 1395-1402. ISBN 0-87262-743-8 http://resolver.caltech.edu/CaltechAUTHORS:20121001-164418666
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A general unifying approach to system identification is presented within a Bayesian statistical framework to explicitly treat the inherent uncertainties. It is shown that selecting the most probable model from a class of models for a structure based on its measured input and output leads to a rational and computationally feasible approach for response prediction. It is also asymptotically correct as the sample size is increased. The methodology is illustrated using an output-error formulation which has been successfully applied to recorded seismic motions from structures.
|Item Type:||Book Section|
|Subject Keywords:||System identification; statistical inference; Bayesian probability; structural dynamics; earthquake records.|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Carmen Nemer-Sirois|
|Deposited On:||26 Oct 2012 21:19|
|Last Modified:||26 Oct 2012 21:19|
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