Ching, J.-Y. and Beck, J. L. (2003) Detecting Beam-Column Connection Failures in ASCE Phase II Simulated Benchmark Studies using a Two-Step Bayesian Structural Health Monitoring Approach. In: Applications of statistics and probability in civil engineering : proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering, San Francisco, California, USA, July 6-9, 2003. Millpress , Rotterndam, Netherlands, pp. 517-524. ISBN 9059660048 http://resolver.caltech.edu/CaltechAUTHORS:20120919-151716587
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This paper uses a two-step probabilistic structural health monitoring approach to analyze the unbraced cases in the Phase II simulated benchmark studies sponsored by the IASC-ASCE Task Group on Structural Health Monitoring. These cases involve damage detection and assessment of beam-column connection failures of the test structure using simulated ambient vibration data that is generated from the benchmark model which has randomly chosen structural parameter values. The two-step approach involves modal identification followed by damage assessment that uses the identified pre- and post-damage modal parameters based on a Bayesian updating methodology. An Expectation-Maximization algorithm is proposed to find the most probable values of the structural parameters. The results of analysis show that the probabilistic approach is able to successfully detect and assess damage locations for the full-sensor and the partial-sensor cases.
|Item Type:||Book Section|
|Subject Keywords:||ASCE structural health monitoring benchmark, Bayesian model updating, damage detection|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Carmen Nemer-Sirois|
|Deposited On:||16 Nov 2012 22:54|
|Last Modified:||23 Aug 2016 10:18|
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