Cloud-BIM based dimensional quality assessment of full-scale precast concrete elements

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

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

4 Citations (Scopus)

Abstract

For successful construction, it is important to ensure that the dimensions of precast concrete elements conform to the design specifications. The current methods of accessing the quality of precast concrete elements, however, rely largely on manual inspection and lack a systematic data storage and delivery system. To tackle these limitations, this study proposes a dimensional quality assessment system for precast concrete elements using 3D laser scanning and cloud-BIM technologies. This study aims to examine the applicability of the dimensional quality assessment technique to full-scale precast concrete elements and develop a cloud-BIM system for effective and flexible data storage and management for quality assessment of precast concrete elements. A validation field test demonstrating the ability of the proposed system to access the dimensional quality of precast concrete elements and manage the quality inspection data in an automatic and effective manner is also presented in this paper.
Original languageEnglish
Title of host publicationEG-ICE 2014, European Group for Intelligent Computing in Engineering - 21st International Workshop
Subtitle of host publicationIntelligent Computing in Engineering 2014
PublisherUniversiteit Twente
ISBN (Electronic)9780993080708
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event21st International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2014 - Cardiff Univeristy, Cardiff, United Kingdom
Duration: 16 Jul 201418 Jul 2014

Conference

Conference21st International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2014
Country/TerritoryUnited Kingdom
CityCardiff
Period16/07/1418/07/14

ASJC Scopus subject areas

  • Computer Science Applications
  • General Engineering

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