Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning

Qian Wang, Minkoo Kim, Jack C.P. Cheng, Hoon Sohn

Research output: Journal article publicationJournal articleAcademic researchpeer-review

56 Citations (Scopus)

Abstract

Precast concrete elements are popularly used and it is important to ensure that the dimensions of individual elements conforms to design codes. However, the current quality assessment of precast concrete elements is inaccurate and time-consuming. To address the problems, this study presents an automated quality assessment technique which estimates the dimensions of precast concrete elements with geometry irregularities using terrestrial laser scanners (TLS). While the scan data obtained from TLS represent the as-built condition of an element, a Building Information Modeling (BIM) model stores the as-design condition of the element. Taking the BIM model as a reference, the scan data are processed to estimate the as-built dimensions of the element. Experiments on a specimen demonstrated that the proposed technique can estimate the dimensions of elements effectively and accurately. Furthermore, a mirror-aided scanning approach, which aims to achieve reduced incident angles in real scanning environments, is proposed and validated by experiments.
Original languageEnglish
Pages (from-to)170-182
Number of pages13
JournalAutomation in Construction
Volume68
DOIs
Publication statusPublished - 1 Aug 2016
Externally publishedYes

Keywords

  • Building information modeling
  • Dimension estimation
  • Mirror-aided scanning
  • Precast concrete element
  • Quality assessment
  • Terrestrial laser scanner

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

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