Research Progress and Application Analysis of Intelligent Non-destructive Testing Technology for Cable Supported Bridges
DOI:
https://doi.org/10.54097/m1r1s777Keywords:
Cable Supported Bridge, Intelligence, Non-destructive Testing TechnologyAbstract
Intelligent non-destructive testing technology for bridges is a technical method to achieve adaptive detection and quantification of structural damage and defects, and provide reliable technical data and basis for bridge maintenance and repair, without damaging or affecting the operational performance of the bridge being tested, with the aid of modern intelligent testing equipment or testing methods. This paper systematically summarizes the mainstream structural appearance defect detection, internal and concealed damage detection, geometry parameter detection, mechanical parameter detection and material parameter detection techniques and equipment in recent years, analyses the current status of various intelligent inspection methods and applications for the main components of cable-supported bridges. The limitations, technical bottlenecks and main technical development directions of existing intelligent inspection technologies and equipment in practical inspection scenarios are analyzed, providing useful references for subsequent research, technical expansion and engineering applications of intelligent inspection technologies in the field of cable-supported bridges, as well as for significant improvements in the breadth, accuracy and efficiency of cable-supported bridge inspection.
Downloads
References
Stredde H J (1991). D0 Silicon Upgrade: End Calorimeter Transfer Bridge Design and Installation Procedures. Office of Scientific & Technical Information Technical Reports.
Broquet C , Brühwiler, Eugen (1999). In situ and Model Tests and Numerical Analysis of a Curved Cable-Stayed Bridge. Structural Engineering International, 9(1),p.57-62.
Taffe A , Kind T , Stoppel M ,et al. OSSCAR - Development of an On-Site SCAnneR for automated non-destructive bridge testing.2009.
Li X , Wang M , Liang X ,et al (2013). The Application of Non-Destructive Testing Based on Terahertz Technology in the Field of Smart Grid. Advanced Materials Research, 760-762, p.409-412.
Jinbo Song (2013).Research of Bridge Health Intelligent Detecting Vehicle.
Soliman M, Frangopol D M,Kim S (2013). Probabilistic Optimum Inspection Planning of Steel Bridges with Multiple Fatigue Sensitive Details. Engineering Structures,49,p.996-1006.
Wang L J , De-Kai X U , Shi W C (2014). Research on Non-destructive Testing of Round Steel in Grounding Grids using Magnetostrictive Guided Waves//2014 International Conference on Mechanics and Civil Engineering (icmce-14).
Sun Y S , Yang X Q , Pei L ,et al (2014). Fault Diagnosis of Mechanized Bridge's Electrical System Based on I2C-bus and Virtual Instrument Technology. Applied Mechanics and Materials, 597,p.444-449.
Xing-Xin, Li, Wei-Xin,et al(2015). FBG force-testing ring for bridge cable force monitoring and temperature compensation. Sensors & Actuators A Physical.
Zhou P, Zhou G , Zhu Z ,et al (2019). A Review of Non-Destructive Damage Detection Methods for Steel Wire Ropes. Applied Sciences, p.2076-3417.
Ji-Wei Z, Bo W, Xiang W, et al (2019). Research of Bridge Intelligent Inspection Technology and Application. Bridge Construction,, 49(S1), p.1–6.
Lin W, Sun Y, Yang Q, et al (2019). Real-time comprehensive image processing system for detecting concrete bridges crack. Computers and Concrete, 23(6).
Morgenthal G, Hallermann N , Kersten J ,et al (2019). Framework for automated UAS-based structural condition assessment of bridges. Automation in Construction, 97 (JAN.), p.77-95.
Jun Y (2020). Application of Non-destructive Testing Technology in Road and Bridge Inspection. Building Technology Development,47(22), p.129–130.
Xingu Z, Xiong P, Mingyan S (2019). Study on the feasibility of identifying concrete crack width with images acquired by unmanned aerial vehicles. China Civil Engineering Journal, 52(4),p.52-61.
Jie S, Zong-Biao Z (2019). Application of Infrared Thermal Imaging 'Technology to Steel Structure Coating Inspection for Bridges. World Bridges, 47(05),p.69–73.
Liang C , Yun T G (2012).Comparison of Nondestructive Testing Methods on Detection of Delaminations in Composites. Journal of Sensors,(2012-04-3), p.:276-283.
Ye M (2017). Infrared Thermal Imaging Detection and Recognition Technology for Defects in Concrete Structure. Journal of Highway and Transportation Research and Development, 34(12),p.59–65.
Xiang W , Bo W , Zheng-Xing W (2017). Research on the Long-term Monitoring Technology of Subgrade Settlement for High-speed Railway in Operation Period. Journal of Railway Engineering Society, 34(5),p.11-14 and 64.
Xiang W, Zhong-Ming P, Bo W (2019). Study of Non Contact Remote Cable Force Testing Techniques Based on Radar. World Bridges, 47(03),p.49–53.
Peng W, Cheng X , Xia X (2019). Vibration deformation measurement and modal analysis for large bridge span using ground-based interferometric radar IBIS-S. Bulletin of Surveying and Mapping.
Ming Y , Lian H , Zhuo P ,et al (2019). Experimental investigation of static damage of concrete beam under bending-shear based on acoustic emission technology. Chang'an Daxue Xuebao (Ziran Kexue Ban)/Journal of Chang'an University (Natural Science Edition), 39(2),p.73-81
Zhou J T , Zhao Y Y , He Q ,et al (2019). Experimental of corrosion detection of galvanized steel strands based on magnetic memory. Chang'an Daxue Xuebao (Ziran Kexue Ban)/ Journal of Chang'an University (Natural Science Edition), 39(1),p.81-90.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.