Monitoring Bridge Dynamic Deformation in Vibration by Digital Photography

2017 3rd International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Yu, Chengxin^1 ; Zhang, Guojian^2 ; Liu, Xiaodong^3 ; Fan, Li^4 ; Hai, Hua^5

Business School, Shandong Jianzhu University, Jinan

250101, China^1

School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou

221116, China^2

School of Continuing Education, Shandong Jianzhu University, Jinan

250101, China^3

Assets Department, Shandong Jianzhu University, Jinan

250101, China^4

Teacher Training Center of Shandong High School, Shandong Normal University, Jinan

250014, China^5

关键词: Deformation point;    Deformation trend;    Digital photography;    Dynamic deformation;    Measurement accuracy;    Parallax methods;    Reference points;    Scale transformation;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/108/2/022069/pdf
DOI  :  10.1088/1755-1315/108/2/022069

来源: IOP

【 摘 要 】

This study adopts digital photography to monitor bridge dynamic deformation in vibration. Digital photography in this study is based on PST-TBPM (photographing scale transformation-time baseline parallax method). Firstly, we monitor the bridge in static as a zero image. Then, we continuously monitor the bridge in vibration as the successive images. Based on the reference points on each image, PST-TBPM is used to calculate the images to obtain the dynamic deformation values of these deformation points. Results show that the average measurement accuracies are 0.685 pixels (0.51mm) and 0.635 pixels (0.47mm) in X and Z direction, respectively. The maximal deformations in X and Z direction of the bridge are 4.53 pixels and 5.21 pixels, respectively. PST-TBPM is valid in solving the problem that the photographing direction is not perpendicular to the bridge. Digital photography in this study can be used to assess bridge health through monitoring the dynamic deformation of a bridge in vibration. The deformation trend curves also can warn the possible dangers over time.