Probabilistic impact-echo method to detect debonding of steel reinforcement in rc structures

A. Pagnotta, P. Gardoni, D. Trejo, Q. Huang

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

Abstract

Information from the inspection of civil engineering structures must be quantitative and be given the proper probabilistic treatment to insure the highest possible accuracy of safety and reliability analyses that include this information. The impact-echo method is a technique that has been considered for use in assessing the state of the interface between concrete and reinforcing bars in RC structures. Previous studies have developed a testing procedure to detect defects at the steel-concrete interface, but the interpretation of results is qualitative. A more quantitative procedure for interpreting these results is examined in a probabilistic sense in an effort to estimate the detection probabilities for this application of impact-echo.

Original languageEnglish (US)
Title of host publicationSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Pages2651-2657
Number of pages7
StatePublished - 2013
Event11th International Conference on Structural Safety and Reliability, ICOSSAR 2013 - New York, NY, United States
Duration: Jun 16 2013Jun 20 2013

Publication series

NameSafety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013

Other

Other11th International Conference on Structural Safety and Reliability, ICOSSAR 2013
Country/TerritoryUnited States
CityNew York, NY
Period6/16/136/20/13

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Safety, Risk, Reliability and Quality

Fingerprint

Dive into the research topics of 'Probabilistic impact-echo method to detect debonding of steel reinforcement in rc structures'. Together they form a unique fingerprint.

Cite this