Localization and Quantification of Concrete Spalling Defects Using Terrestrial Laser Scanning

Minkoo Kim, Hoon Sohn, Chih Chen Chang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

57 Citations (Scopus)

Abstract

During construction and maintenance of concrete structures, it is important to achieve and preserve good surface quality of their components. The current quality assessment for concrete surfaces, however, heavily relies on manual inspection, which is time demanding and costly. This study presents a new technique that can simultaneously localize and quantify spalling defects on concrete surfaces using a terrestrial laser scanner. Defect-sensitive features, which have complementary properties to each other, are developed and combined for improved localization and quantification of spalling defects. A defect classifier is developed to automatically diagnose whether the investigated surface region is damaged, where the defect is located, and how large it is. Numerical simulations and experiments are conducted to demonstrate the effectiveness of the proposed defect-detection technique. Furthermore, a parametric study with varying scan parameters is performed for optimal detection performance. The results demonstrate that the proposed technique can properly estimate the location and volume of the concrete spalling defects.
Original languageEnglish
Article number04014086
JournalJournal of Computing in Civil Engineering
Volume29
Issue number6
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

Keywords

  • Concrete surface
  • Defect localization and defect quantification
  • Quality assessment
  • Spalling defect
  • Terrestrial laser scanner

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Computer Science Applications

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