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Empirical Study on Structural Safety Diagnosis of Large-Scale Civil Infrastructure Using Laser Scanning and BIM

Author

Listed:
  • Namhyuk Ham

    (Division of Architecture and Civil Engineering, Kangwon National University, 346, Jungang-ro, Samcheok-si 25913, Gangwon-do, Korea)

  • Sang-Hyo Lee

    (Division of Architecture and Civil Engineering, Kangwon National University, 346, Jungang-ro, Samcheok-si 25913, Gangwon-do, Korea)

Abstract

Existing structural safety diagnosis methods are time-consuming due to personnel-oriented measurement methods and have a limitation that it is difficult to obtain consistent research results. In order to overcome these limitations, this study proposes a structural safety diagnosis method using laser scanning and BIM. In spite of the various studies related to laser scanning and BIM, it is difficult to find a study that verifies the effect of shortening the service period and cost reduction in terms of project management. Therefore, in this study, case analysis of structural safety diagnosis of large-scale civil infrastructure was conducted. In the structural safety diagnosis, the laser scanning data and the BIM model were compared and analyzed to determine the degree of deformation of pipe rack (e.g., truss, column). Laser scanning data reflects the deformation state of large-scale civil infrastructure. On the other hand, the BIM model was constructed by reflecting the state before the transformation with reference to the laser scanning data. Finally, proposed method of structural safety diagnosis saved four months. In terms of manpower saving, 125 man-month was saved. The research findings can provide a quantitative basis for the introduction of laser scanning and BIM technology in the structural safety diagnosis of aging large-scale civil infrastructures. However, the limitations of this study have not been analyzed economically by considering the investment cost (e.g., hardware, software, training, etc.) of laser scanning and BIM technology and the cost saving effect of technology introduction.

Suggested Citation

  • Namhyuk Ham & Sang-Hyo Lee, 2018. "Empirical Study on Structural Safety Diagnosis of Large-Scale Civil Infrastructure Using Laser Scanning and BIM," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4024-:d:180219
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    Citations

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    Cited by:

    1. Zezhou Wu & Changhong Chen & Yuzhu Cai & Chen Lu & Hao Wang & Tao Yu, 2019. "BIM-Based Visualization Research in the Construction Industry: A Network Analysis," IJERPH, MDPI, vol. 16(18), pages 1-13, September.
    2. Sang-Ho Cho & Kyung-Tae Lee & Se-Heon Kim & Ju-Hyung Kim, 2019. "Image Processing for Sustainable Remodeling: Introduction to Real-time Quality Inspection System of External Wall Insulation Works," Sustainability, MDPI, vol. 11(4), pages 1-17, February.
    3. Namhyuk Ham & Baek-Il Bae & Ok-Kyung Yuh, 2020. "Phased Reverse Engineering Framework for Sustainable Cultural Heritage Archives Using Laser Scanning and BIM: The Case of the Hwanggungwoo (Seoul, Korea)," Sustainability, MDPI, vol. 12(19), pages 1-23, October.
    4. Bilal Manzoor & Idris Othman & Juan Carlos Pomares, 2021. "Digital Technologies in the Architecture, Engineering and Construction (AEC) Industry—A Bibliometric—Qualitative Literature Review of Research Activities," IJERPH, MDPI, vol. 18(11), pages 1-26, June.
    5. Ki Pyung Kim & Rob Freda & Tan Hai Dang Nguyen, 2020. "Building Information Modelling Feasibility Study for Building Surveying," Sustainability, MDPI, vol. 12(11), pages 1-19, June.

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