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Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Rangingopen access

Authors
Pham, Thanh ThiKim, DoyunWoo, UkyongJeong, Su-GwangChoi, Hajin
Issue Date
Dec-2023
Publisher
MDPI
Keywords
3D point clouds; light detection and ranging (LiDAR); structural health monitoring (SHM); concrete
Citation
APPLIED SCIENCES-BASEL, v.13, no.24
Journal Title
APPLIED SCIENCES-BASEL
Volume
13
Number
24
URI
https://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/49106
DOI
10.3390/app132413025
ISSN
2076-3417
2076-3417
Abstract
The objective of this study is to develop a monitoring algorithm that measures the displacement of concrete structures using light detection and ranging (LiDAR). The suggested method is based on non-contact measurements providing 3D point clouds of the scanning area with high resolution. This overcomes the limitation of traditional contact-type and point-based measurement methods such as linear variable differential transformer (LVDT) and strain gauge. The developed algorithm enables one to track the boundaries of a concrete specimen and measures the vertical or lateral displacement. To demonstrate that displacement in the horizontal and vertical direction can be measured irrespective of the field of view (FOV), two different concrete specimens were constructed where gradually increasing vertical or lateral loads were applied. Then, the displacements were monitored using the set of LVDT and LiDAR for the correlation analysis. The results demonstrated a high accuracy of 98 similar to 99% correlation in comparison between LVDT and LiDAR.
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