Detection of surface crack in concrete using measurement technique with laser displacement sensor

Paritosh Giri, Sergey Kharkovsky

Research output: Contribution to journalArticle

39 Citations (Scopus)

Abstract

Detection of crack in concrete is an important issue as concrete is one of the principal material used in civil infrastructures. Cracks often occur first on the surface of concrete structure under load and provide an indication for further degradation. In this brief, an efficient noncontact method of the detection of such cracks in concrete using a measurement system with a laser displacement sensor (LDS) is presented. The proposed system consists of an LDS mounted on the scanner performing a raster scan. During the scanning process, the system gives the reading of displacement value from the sensor head to the laser spot on the target surface of the specimen. The proof of concept is given by testing with two different concrete specimens, namely, a concrete slab with a 0.7-mm-width through crack and a cylindrical concrete specimen with multiple cracks on the surface caused by loading effect. It is shown that a characteristic response of crack as a sharp distortion of the displacement reading occurs when the laser spot crosses the crack. The negligible standard deviation proves the repeatability and accuracy of the measurement and shows that this technique can be applied in a real-life scenario. A root-mean-square deviation in the displacement reading of the LDS is used as an index of crack. The effect of the shape of the specimen is investigated by detecting same-width cracks at different points along the circumference of a cylindrical specimen with different incident angles.

Original languageEnglish
Pages (from-to)1951-1953
Number of pages3
JournalIEEE Transactions on Instrumentation and Measurement
Volume65
Issue number8
DOIs
Publication statusPublished - 1 Aug 2016
Externally publishedYes

Keywords

  • 1-D profile
  • concrete
  • cracks
  • laser displacement sensor (LDS)
  • nondestructive testing
  • remote sensing
  • structural health monitoring

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