Structural Reliability Estimation with Vibration-Based Identified Parameters
Publication: Journal of Engineering Mechanics
Volume 136, Issue 1
Abstract
This paper presents a unique structural reliability estimation method incorporating structural parameter identification results based on the seismic response measurement. In the shaking table test, a three-bent concrete bridge model was shaken to different damage levels by a sequence of earthquake motions with increasing intensities. Structural parameters, stiffness and damping values of the bridge were identified under damaging seismic events based on the seismic response measurement. A methodology was developed to understand the importance of structural parameter identification in the reliability estimation. Along this line, a set of structural parameters were generated based on the Monte Carlo simulation. Each of them was assigned to the base bridge model. Then, every bridge model was analyzed using nonlinear time history analyses to obtain damage level at the specific locations. Last, reliability estimation was performed for bridges modeled with two sets of structural parameters. The first one was obtained by the nonlinear time history analysis with the Monte Carlo simulated parameters which is called nonupdated structural parameters. The second one was obtained by updating the first set in Bayesian sense based on the vibration-based identification results which is called updated structural parameters. In the scope of this paper, it was shown that residual reliability of the system estimated using the updated structural parameters is lower than the one estimated using the nonupdated structural parameters.
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Acknowledgments
This study is sponsored by Caltrans, under the Research Grant No. UNSPECIFIED59A0311. The writers are thankful for insightful comments from project manager Mr. Li-Hong Sheng. The shaking table experiments were conducted at University of Nevada, Reno in conjunction with Dr. Saidii’s and Sander’s NSF-NEES project.
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Information & Authors
Information
Published In
Journal of Engineering Mechanics
Volume 136 • Issue 1 • January 2010
Pages: 100 - 106
Copyright
© 2010 ASCE.
History
Received: Mar 26, 2008
Accepted: Jun 15, 2009
Published online: Jun 22, 2009
Published in print: Jan 2010
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