The diagnosis method of concrete structures using non-destructive tests based on stress waves and artificial neural network

Young Sang Cho, Seong Uk Hong, Lin Xia, Jun Seo Bae

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Abstract

As infrastructures are being deteriorated, the necessity of non-destructive evaluation in existing structures and new building construction for the quality control are increasingly demanded. This paper is to study the flaw detection techniques of concrete members using an impact echo method, which is one of the nondestructive test methods. This technique is based on stress wave propagation. The flaw detections of concrete members consist of 4 types in this study; one group for the thickness prediction, one group for the position of voids, one group for the position of the reinforcement bars, and the other group for the position of PVC tubes buried in the specimens. The artificial neural network technology was used for training of the thickness prediction for the concrete members. Experiments were performed using four types of flaws simulated in the concrete specimens at known locations for tests and analysis. Test results of flaws are evaluated and presented in this paper.
Original languageEnglish
Title of host publicationProceedings of the International Congress on Ultrasonics, Vienna, April 9-13, 2007
PublisherInternational Congress on Ultrasonics (ICU)
Number of pages4
DOIs
Publication statusPublished - 9 Apr 2007
Externally publishedYes
Event2007 International Congresses on Ultrasonics - Vienna University of Technology, Vienna, Austria
Duration: 9 Apr 200712 Apr 2007
http://www.icultrasonics.org/icu2007/index.html

Conference

Conference2007 International Congresses on Ultrasonics
Abbreviated title2007 ICU
Country/TerritoryAustria
CityVienna
Period9/04/0712/04/07
Internet address

Keywords

  • non-destructive tests
  • impact echo method
  • artificial neural network
  • flaw detection
  • compressive strength
  • diagnosis method

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