Dimensional quality assessment of atypical precast elements using laser scanning and bim

Minkoo Kim, Joonwoo Park, Qian Wang, Hoon Sohn

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Over the last few decades, precast concrete elements have become a popular component for construction projects. Since success of the precast concrete based construction comes from the dimensional conformability of individual precast concrete elements to their design specifications, checking the dimensional qualities of individual precast concrete element is very important. This paper presents a laser scanning and Building Information Modeling (BIM) based quality assessment technique that automatically measures the dimensional properties of atypical precast concrete elements. In this study, a new algorithm is developed to match the scanned data obtained from a laser scanner with the as-designed model of precast concrete elements. Validation experiments are conducted on actual atypical precast concrete elements to identify the effectiveness of the proposed technique. The test results show that the dimensional errors between the scanned points and the asdesigned model have a 2.6 mm, which is satisfactory accuracy for successful dimensional quality assessment of precast concrete elements.
Original languageEnglish
Title of host publicationEG-ICE 2015 - 22nd Workshop of the European Group of Intelligent Computing in Engineering
PublisherEuropean Group of Intelligent Computing in Engineering
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event22nd Workshop of the European Group of Intelligent Computing in Engineering, EG-ICE 2015 - Eindhoven University of Technology, Eindhoven, Netherlands
Duration: 13 Jul 201515 Jul 2015


Conference22nd Workshop of the European Group of Intelligent Computing in Engineering, EG-ICE 2015


  • Atypical precast concrete elements
  • Building Information Modeling (BIM)
  • Dimensional quality assessment
  • Laser scanning

ASJC Scopus subject areas

  • Computer Science Applications
  • Engineering(all)

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