Adaptive reliability analysis of reinforced concrete bridges using 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. To obtain an accurate assessment of seismic fragility, it is critical to incorporate information about the current structural properties. This paper describes a probabilistic framework to incorporate information from nondestructive testing (NDT) in the estimates of the seismic fragility of a reinforced concrete (RC) bridge. The proposed framework combines global and local damage detection methods to incorporate information from nondestructive testing (NDT) on the properties of an existing bridge. As an illustration, the proposed probabilistic framework is used to assess the seismic fragility of an example reinforced concrete bridge.

Original languageEnglish (US)
Title of host publicationVulnerability, Uncertainty, and Risk
Subtitle of host publicationAnalysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences
Pages922-929
Number of pages8
DOIs
StatePublished - 2011
EventInternational Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011 - Hyattsville, MD, United States
Duration: Apr 11 2011Apr 13 2011

Publication series

NameVulnerability, Uncertainty, and Risk: Analysis, Modeling, and Management - Proceedings of the ICVRAM 2011 and ISUMA 2011 Conferences

Other

OtherInternational Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2011 and the International Symposium on Uncertainty Modeling and Analysis, ISUMA 2011
Country/TerritoryUnited States
CityHyattsville, MD
Period4/11/114/13/11

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Adaptive reliability analysis of reinforced concrete bridges using nondestructive testing'. Together they form a unique fingerprint.

Cite this