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Structural Health Monitoring of Bridges using Digital Image Correlation: A Case Study

Krunali Daga, P.B. Murnal


The rapid development of the transportation section and continuous change in traffic volume, density, and loading patterns over the last few decades have increased the probability of a hazard and reduced the life of existing bridges. Structural Health Monitoring (SHM) is a process of implementing a damage detection and characterization strategy for engineering structures. This paper presents a review of various trends and technology adopted for SHM. However, it focuses on Digital Image Correlation (DIC), which is the latest technology for SHM. It is a non-contact non-destructive optical method of testing. Video Gauge is an instrument based on the DIC principle and can measure displacement, rotation, longitudinal strain, transverse strain, shear strain, dual average strain, Poisson’s ratio, and standard material test. The four-lane simply supported RCC T-girder bridge was tested using Video Gauge. Displacements were recorded at two locations with different cross-sections. These vertical displacements, when compared with analytical results, obtained by linear elastic grillage analysis, differ by 5% and 12.5% at defined points. For estimation of the safety of the limit state of strength, the analytical model was used to estimate maximum displacement, bending moment, and shear force for the worst load combination as per IRC: 6. From the results, it can be concluded that structural monitoring of bridges using the DIC technique can be employed successfully, and the bridge in this case study is safe for a limit state of strength. 

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Risodkar YR, Pawar AS. A survey: Structural health monitoring of bridge using WSN. International Conference on Global Trends in Signal Processing, Information Computing and Communication. June 2017.195–199p.

Comisu CC, Taranu N, Boaca G, et al. Structural health monitoring system of bridges. In: EURODYN 2017. X International Conference on Structural Dynamics. 2017. Procedia Engineering. 2017; 199: 2054–2059p.

Tan ACC, Kaphle, et al. Structural health monitoring of bridges using acoustic emission technology. The Proceedings of the 8th International Conference on Reliability, Maintainability and Safety. Chengdu, China. 20-24 July 2009. 839–843p.

Verma S, Raj V. Structural health monitoring case study review. IJCER. 2017; 8 (1): 33–38p.

Inaudi D, Smartec SA. Structural health monitoring of bridges: General issues and applications. In: Vistasp M, Karbhari, Ansari F, editors. Structural Health Monitoring of Civil Infrastructure Systems. Great Abington, Cambridge, UK: Woodhead Publishing Limited; 2009.

Aroch R, Sokol M, Venglar M. Structural health monitoring of major Danude Bridges in Bratislava. In: BDB 2016. 9th International Conference Bridges. Danube Basin, Slovakia. Procedia Engineering. 2016; 156: 24–31p.

Hui LI, Jinping OU. Structural health monitoring: from sensing technology stepping to health diagnosis. The 12th East Asia-Pacific Conference on Structural Engineering and Construction. Procedia Engineering. 2011; 14 (2011): 753–760p.

Ayyilldiz C, Erdem HE, Dirikgil T, et al. Structural health monitoring using wireless sensor networks on structural elements. Ad Hoc Networks. 2019; 82 (2019): 68–76p

Furtner P, Della CA, Gosh C. Structural health monitoring of Signature Bridge in Delhi. IABSE Symposium Report. 2013; 101 (15): 1–9p.

Gallou M. Application of Video Gauge for the assessment of track displacement. The Stephenson Conference: Research for Railways. Institute of Mechanical Engineers, London, UK. 2017, April 25-27. pp. 141–148.

Brownjohn J, Yan X, Hester D. Vision–based bridge deformation monitoring. Frontiers in Built Environment. 2017; 3: 1–17p.



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