1st International Conference on Frontiers of Materials Synthesis and Processing | |
Research on Damage Identification of Bridge Based on Digital Image Measurement | |
材料科学;化学 | |
Liang, Yingjing^1 ; Huan, Shi^2 ; Tao, Weijun^2 | |
School of Civil Engineering, Guangzhou University, Guangzhou | |
510006, China^1 | |
Earthquake Engineering Research Test Center, Guangzhou University, Guangzhou | |
510006, China^2 | |
关键词: Bridge health monitoring; Damage Identification; Deflection measurement; Detection technology; Digital image measurement; Measurement accuracy; Non-destructive monitoring; Operating frequency; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/274/1/012045/pdf DOI : 10.1088/1757-899X/274/1/012045 |
|
学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
In recent years, the number of the damage bridge due to excessive deformation gradually increased, which caused significant property damage and casualties. Hence health monitoring and the damage detection of the bridge structure based on the deflection measurement are particularly important. The current conventional deflection measurement methods, such as total station, connected pipe, GPS, etc., have many shortcomings as low efficiency, heavy workload, low degree of automation, operating frequency and working time constrained. GPS has a low accuracy in the vertical displacement measurement and cannot meet the dynamic measured requirements of the current bridge engineering. This paper presents a bridge health monitoring and damage detection technology based on digital image measurement method in which the measurement accuracy is sub-millimeter level and can achieve the 24-hour automatic non-destructive monitoring for the deflection. It can be concluded from this paper that it is feasible to use digital image measurement method for identification of the damage in the bridge structure, because it has been validated by the theoretical analysis, the laboratory model and the application of the real bridge.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Research on Damage Identification of Bridge Based on Digital Image Measurement | 502KB | download |