Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging
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 overco...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/24/13025 |
| _version_ | 1797382176889634816 |
|---|---|
| author | Thanh Thi Pham Doyun Kim Ukyong Woo Su-Gwang Jeong Hajin Choi |
| author_facet | Thanh Thi Pham Doyun Kim Ukyong Woo Su-Gwang Jeong Hajin Choi |
| author_sort | Thanh Thi Pham |
| collection | DOAJ |
| description | 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 98~99% correlation in comparison between LVDT and LiDAR. |
| first_indexed | 2024-03-08T21:02:38Z |
| format | Article |
| id | doaj.art-73b761544fef4ae5a31f2ad3a8351f52 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-08T21:02:38Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-73b761544fef4ae5a31f2ad3a8351f522023-12-22T13:50:27ZengMDPI AGApplied Sciences2076-34172023-12-0113241302510.3390/app132413025Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and RangingThanh Thi Pham0Doyun Kim1Ukyong Woo2Su-Gwang Jeong3Hajin Choi4Structural Engineering/Building Materials, Soongsil University, 369 Sangdo-ro, Seoul 06978, Republic of KoreaStructural Engineering/Building Materials, Soongsil University, 369 Sangdo-ro, Seoul 06978, Republic of KoreaStructural Engineering/Building Materials, Soongsil University, 369 Sangdo-ro, Seoul 06978, Republic of KoreaStructural Engineering/Building Materials, Soongsil University, 369 Sangdo-ro, Seoul 06978, Republic of KoreaStructural Engineering/Building Materials, Soongsil University, 369 Sangdo-ro, Seoul 06978, Republic of KoreaThe 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 98~99% correlation in comparison between LVDT and LiDAR.https://www.mdpi.com/2076-3417/13/24/130253D point cloudslight detection and ranging (LiDAR)structural health monitoring (SHM)concrete |
| spellingShingle | Thanh Thi Pham Doyun Kim Ukyong Woo Su-Gwang Jeong Hajin Choi Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging Applied Sciences 3D point clouds light detection and ranging (LiDAR) structural health monitoring (SHM) concrete |
| title | Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging |
| title_full | Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging |
| title_fullStr | Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging |
| title_full_unstemmed | Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging |
| title_short | Development of Non-Contact Measurement Techniques for Concrete Elements Using Light Detection and Ranging |
| title_sort | development of non contact measurement techniques for concrete elements using light detection and ranging |
| topic | 3D point clouds light detection and ranging (LiDAR) structural health monitoring (SHM) concrete |
| url | https://www.mdpi.com/2076-3417/13/24/13025 |
| work_keys_str_mv | AT thanhthipham developmentofnoncontactmeasurementtechniquesforconcreteelementsusinglightdetectionandranging AT doyunkim developmentofnoncontactmeasurementtechniquesforconcreteelementsusinglightdetectionandranging AT ukyongwoo developmentofnoncontactmeasurementtechniquesforconcreteelementsusinglightdetectionandranging AT sugwangjeong developmentofnoncontactmeasurementtechniquesforconcreteelementsusinglightdetectionandranging AT hajinchoi developmentofnoncontactmeasurementtechniquesforconcreteelementsusinglightdetectionandranging |