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Dimensional Quality Assessment of Steel H-Beams Using Terrestrial Laser Scan Data

  • Mathanraj Rajendran (Department of Global Smart City, Faculty of Engineering, Sungkyunkwan University) ;
  • Sung-Han Sim (Department of Global Smart City, Faculty of Engineering, Sungkyunkwan University) ;
  • Min-Koo Kim (Department of Architectural Engineering, Faculty of Engineering, Chungbuk National University) ;
  • Yoon-Ki Choi (Earth Turbine)
  • Published : 2024.07.29

Abstract

In the construction industry, steel structures are prominent due to their exceptional strength and high bearing capacity, making them resilient against natural calamities. However, the stability and overall structural integrity of these steel structures depend significantly on the precision of the individual steel members used. Presently, the dimensions of these steel members are typically measured manually using mechanical instruments such as steel tape and vernier calipers. This conventional approach is not only time-consuming but also highly vulnerable to human error. Consequently, there is a growing need for more accurate and reliable methods for assessing the dimensions of steel members. This paper aims to measure the dimensions of key checklists of the cross-section surface of the steel H-beams using Terrestrial Laser Scan (TLS) data. This study involves the automatic extraction of scan points associated with the cross-section surface of the H-beam members using RANSAC. By the end, an algorithm was developed to predict the actual edge points belonging to the boundary of the extracted surface and introduced an edge loss compensation model to compensate the losses occurred due to uncertainties. Experimental evaluations were conducted using various scan data collected from steel H-beam and the measured dimensions were subsequently compared with manual measurements and dimensions obtained through the previously proposed method, demonstrating that the measurements meet 1mm accuracy and are within the allowable tolerance range followed in industry. This research underscores the efficiency and reliability of the introduced approach, offering a promising solution to enhance the dimensional quality assessment of steel H-beams in the construction industry.

Keywords

Acknowledgement

This research was supported by two funding sources, including the National R&D Project for Smart Construction Technology (Grant RS-2020-KAI156887) funded by the Korea Agency for Infrastructure Technology Advancement under the Ministry of Land, Infrastructure, and Transport and managed by the Korea Expressway Corporation; the National Research Foundation of Korea (NRF) grant (No. NRF-2022R1A2C1005184) funded by the Korea government (MSIT).

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