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
Full text not available from this repository.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:20121001-164418666
Abstract
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. |
| Record Number: | CaltechAUTHORS:20121001-164418666 |
| Persistent URL: | http://resolver.caltech.edu/CaltechAUTHORS:20121001-164418666 |
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. |
| ID Code: | 34607 |
| Collection: | CaltechAUTHORS |
| Deposited By: | Carmen Nemer-Sirois |
| Deposited On: | 26 Oct 2012 21:19 |
| Last Modified: | 26 Oct 2012 21:19 |
Repository Staff Only: item control page
