A Point Cloud Registration Method for Steel Tubular Arch Rib Segments of CFST Arch Bridges Based on Local Geometric Constraints
The multi-station registration of concrete-filled steel tubular (CFST) arch rib segments poses significant challenges due to structural complexity and environmental constraints during terrestrial laser scanning, requiring multi-angle acquisition for comprehensive coverage. This study introduces a ca...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Buildings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-5309/15/12/2130 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | The multi-station registration of concrete-filled steel tubular (CFST) arch rib segments poses significant challenges due to structural complexity and environmental constraints during terrestrial laser scanning, requiring multi-angle acquisition for comprehensive coverage. This study introduces a cascaded registration framework comprising: (1) a coarse registration method utilizing local geometric features of segmented tubular joints, where equidistant cross-section partitioning extracts inherent circularity constraints from cylindrical segments, and (2) a refined registration stage employing the Coherent Point Drift (CPD) algorithm with k-d tree acceleration for computational efficiency. Experimental results demonstrate that the coarse registration achieves 31 mm RMSE with <i>R</i><sup>2</sup>= 0.889, eliminating 88.9% of initial misalignment. The CPD refinement reduces RMSE to 4 mm (87% precision improvement), reaching sub-centimeter accuracy with exceptional congruence (<i>R</i><sup>2</sup> = 0.995, residual error = 0.5%). Notably, k-d tree acceleration decreases computational time by 34.2% (13.30 s vs. 20.21 s) compared to conventional CPD. Validated on 2.2 m CFST specimens, this method provides an efficient solution for multi-station point cloud registration of complex steel structures. |
|---|---|
| ISSN: | 2075-5309 |