Seismic fragility of RC bridges using the data obtained from nondestructive testing

Q. Huang, P. Gardoni, S. Hurlebaus

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Seismic fragility reflects the ability of a structure to withstand future seismic demands. In order to obtain an accurate assessment of the seismic fragility, it is critical to incorporate information about the current structural properties, which reflects possible aging and deterioration. This paper describes a probabilistic framework to identify the actual conditions of an existing bridge using nondestructive testing (NDT) and to estimate the structure reliability. The proposed probabilistic framework combines global and local damage detection methods. Measurement and modeling errors are considered in the application of the damage detection methods. Then the information obtained from the damage detection is used in newly developed probabilistic capacity and seismic demand models to estimate the seismic fragility of the bridge. Lastly, the proposed probabilistic framework is applied to a reinforced concrete bridge with one single-column bent.

Original languageEnglish (US)
Title of host publicationApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
PublisherTaylor and Francis Inc.
Pages2633-2641
Number of pages9
ISBN (Print)9780415669863
DOIs
StatePublished - 2011
Event11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
Duration: Aug 1 2011Aug 4 2011

Publication series

NameApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

Other

Other11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
CountrySwitzerland
CityZurich
Period8/1/118/4/11

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

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