A framework for dimensional and surface quality assessment of precast concrete elements using BIM and 3D laser scanning

Minkoo Kim, Jack C.P. Cheng, Hoon Sohn, Chih Chen Chang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

107 Citations (Scopus)

Abstract

This study presents a systematic and practical approach for dimensional and surface quality assessment of precast concrete elements using building information modeling (BIM) and 3D laser scanning technology. As precast concrete based rapid construction is becoming commonplace and standardized in the construction industry, checking the conformity of dimensional and surface qualities of precast concrete elements to the specified tolerances has become ever more important in order to prevent failure during construction. Moreover, as BIM gains popularity due to significant developments in information technology, an autonomous and intelligent quality assessment system that is interoperable with BIM is needed. The current methods for dimensional and surface quality assessment of precast concrete elements, however, rely largely on manual inspection and contact-type measurement devices, which are time demanding and costly. In addition, systematic data storage and delivery systems for dimensional and surface quality assessment are currently lacking. To overcome the limitations of the current methods for dimensional and surface quality assessment of precast concrete elements, this study aims to establish an end-to-end framework for dimensional and surface quality assessment of precast concrete elements based on BIM and 3D laser scanning. The proposed framework is composed of four parts: (1) the inspection checklists; (2) the inspection procedure; (3) the selection of an optimal scanner and scan parameters; and (4) the inspection data storage and delivery method. In order to investigate the feasibility of the proposed framework, case studies assessing the dimensional and surface qualities of actual precast concretes are conducted. The results of the case studies demonstrate that the proposed approach using BIM and 3D laser scanning has the potential to produce an automated and reliable dimensional and surface quality assessment for precast concrete elements.
Original languageEnglish
Pages (from-to)225-238
Number of pages14
JournalAutomation in Construction
Volume49
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes

Keywords

  • 3D laser scanning
  • Building information modeling (BIM)
  • Dimensional and surface quality assessment
  • Framework
  • Precast concrete elements

ASJC Scopus subject areas

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

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