Feasibility Study on the Application of Visual Measurement Technology in Deformation Measurement of Irregular Arch Bridge
- DOI
- 10.2991/978-94-6463-728-1_37How to use a DOI?
- Keywords
- Displacement; visual measurement; irregular arch bridges; digital image processing
- Abstract
The irregular arch bridge is increasingly favored by designers for its aesthetic appeal. However, traditional displacement measurement methods fail to meet the high-precision, high-frequency requirements for health monitoring of such Irregular arch bridge structures. Therefore, based on the Echeng Bridge in Huizhou City, a study proposes a close-range photogrammetry system using ellipse fitting and inverse perspective transformation principles. This system effectively eliminates displacement errors caused by shooting angles and improves measurement accuracy. Experimental results demonstrate that compared to traditional total station measurement methods, both methods yield highly consistent results with measurement accuracy reaching millimeter-level requirements. The study analyzes the feasibility and measurement accuracy of applying this visual measurement system to the EchengBridge, providing a theoretical basis for similar irregular arch bridges.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Fentao Guo AU - Yufeng Xu AU - Sixin Fu AU - Zhantao Zhang AU - Qilong Wang PY - 2025 DA - 2025/05/19 TI - Feasibility Study on the Application of Visual Measurement Technology in Deformation Measurement of Irregular Arch Bridge BT - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024) PB - Atlantis Press SP - 376 EP - 383 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-728-1_37 DO - 10.2991/978-94-6463-728-1_37 ID - Guo2025 ER -