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Extracting Arch Rib Shape of Steel Arch Bridges Using Improved DBSCAN Algorithm Integrated with RANSAC
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Guo-bing PAN, Xue-yan ZHAO*, Wei WU, Xiao-dong JIN, Hong-bing YU
Science Technology and Engineering | 2025, 25(21) : 9148 - 9157
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Science Technology and Engineering | 2025, 25(21): 9148-9157
Papers·Traffics and Transportations
Extracting Arch Rib Shape of Steel Arch Bridges Using Improved DBSCAN Algorithm Integrated with RANSAC
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Guo-bing PAN, Xue-yan ZHAO*, Wei WU, Xiao-dong JIN, Hong-bing YU
Affiliations
  • Smart Cities Institute, Chongqing Jiaotong University, Chongqing 400074, China
Published: 2025-07-28 doi: 10.12404/j.issn.1671-1815.2406516
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The alignment monitoring of steel arch bridges constitutes an essential component of bridge health monitoring systems. Three-dimensional laser scanning technology was utilized, and the traditional density-based spatial clustering of applications with noise(DBSCAN) algorithm was improved by integrating the random sample consensus(RANSAC) algorithm to extract the alignment of steel arch bridge ribs. Three-dimensional laser point cloud data, characterized by its comprehensiveness and detailed representation, is capable of fully presenting the structural shape and deformation information of the bridge. The RANSAC-integrated improved DBSCAN algorithm, constrained by the structural features of the steel arch bridge, effectively achieves the removal of discrete points as well as point clouds from the bridge deck, cross bracing, lateral connections, and web members. Point clouds extracted using the RANSAC-integrated improved DBSCAN algorithm are fitted to identify key points, and a comparison is made with results obtained manually. The extraction errors for the key points of the arch ribs are all within the millimeter range, with the maximum error being 9.2 mm and the minimum error being 0.1 mm. This extraction method is demonstrated to more accurately and effectively accomplish the alignment extraction of steel arch bridges, achieving millimeter-level precision in alignment extraction. It significantly reduces labor and time costs, provides better robustness for the complex structures of steel arch bridges, and adapts well to practical production demands.

3D laser  /  line shape monitoring  /  RANSAC algorithm  /  improved DBSCAN algorithm
Guo-bing PAN, Xue-yan ZHAO, Wei WU, Xiao-dong JIN, Hong-bing YU. Extracting Arch Rib Shape of Steel Arch Bridges Using Improved DBSCAN Algorithm Integrated with RANSAC[J]. Science Technology and Engineering, 2025 , 25 (21) : 9148 -9157 . DOI: 10.12404/j.issn.1671-1815.2406516
Year 2025 volume 25 Issue 21
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doi: 10.12404/j.issn.1671-1815.2406516
  • Receive Date:2024-08-30
  • Online Date:2026-01-13
  • Published:2025-07-28
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  • Received:2024-08-30
  • Revised:2025-04-15
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    Smart Cities Institute, Chongqing Jiaotong University, Chongqing 400074, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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