Abstract
In order to accurately analyze the service conditions of key and hidden components, we proposed a trend identification method of the geometric shape changes based on a point cloud model. In this method, a refined digital model for a target bridge in service is established by laser scanning and point cloud registration. Thereby, the geometric shape changes of bridges are traced and the mechanical conditions including its development in future are identified and predicted. An evaluation for the overturning behaviors of seven single-column-pier bridges was considered as a case study to demonstrate the application of the proposed method. Based on the point cloud models of these bridges by the 3D laser scanning, the rotations of supporting bears, relative transverse displacements between the bears and girders, and behavior changes of entire structures were specifically identified. By two-year monitoring, the trends of bridge overturning were obtained and assessed. The accuracy of the identification-based trend prediction was verified by comparing the identification results to the real bridge conditions and the characteristics of external loads. The study shows that the proposed method can identify the geometric shape changes of bridges in a long distance and quickly trace the changes in bridge behaviors. It can also provide more theoretical bases for the safety warning of bridges.
Translated title of the contribution | Identification and Analysis of Geometric Shape Change Trends of Bridges Based on Point Cloud Model |
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Original language | Chinese (Traditional) |
Pages (from-to) | 35-40 |
Number of pages | 6 |
Journal | Bridge Construction |
Volume | 48 |
Issue number | 6 |
State | Published - Dec 28 2018 |
Keywords
- Bridge inspection
- Contactless inspection
- Geometric shape
- Laser scanning
- Point cloud model
- Safety warning
- Trend of change
ASJC Scopus subject areas
- Building and Construction