Conceptual Framework for IoT-Based Structural Health Monitoring of RC Bridges for Maintenance Decision-Making

Abstract:

Infrastructure development serves as an indicator of a country’s social and economic growth. Bridges are the key assets of infrastructure projects that are built for a design life of more than 50 years. During their lifespan, they are subjected to defects and deterioration due to physical changes, chemical attacks, internal reactions, etc. that are required to be addressed by timely inspection and monitoring. Inspection practices have a great impact on maintenance planning and decision-making. Since bridges are public infrastructure the budget allocated to their repair and maintenance is limited. Therefore, there arises a need for accurate, measurable, reliable, and cost-effective technologies for bridge health monitoring that can be incorporated into decision-making tools to prioritize repair and maintenance strategies. In recent years the trend has shifted from visual inspection to IoT-based condition assessment. This technique evaluates the bridge’s global and localized, and static and dynamic responses. However, there is a need to develop a systematic structure for a bridge health monitoring system, standardizing the data acquisition, processing, and transmission from a group of sensors to evaluate the existing condition of the bridge. This study proposes a conceptual IoT-based framework for structural health monitoring of existing reinforced concrete bridges for informed decision-making along with development of data acquisition system.

• Periodical: Construction Technologies and Architecture (Volume 15)
• Pages: 19-26
• DOI: https://doi.org/10.4028/p-q8nkQW
• Online since: January 2025
• Authors: Farrukh Arif, Laiba Ayub*, Filza Ahmed Khan, Asad Ur Rehman Khan
• Keywords: Decision-Making, Infrastructure Maintenance, IoT-Sensors, RC Bridges, Structural Health Monitoring (SHM)

References

[1] Bank, A.D., Infrastructure for supporting inclusive growth and poverty reduction in Asia. 2012: Asian Development Bank.

[2] Omar, T. and M.L.J.I. Nehdi, Condition assessment of reinforced concrete bridges: Current practice and research challenges. 2018. 3(3): p.36.

DOI: 10.3390/infrastructures3030036

[3] Sofi, A., et al., Structural health monitoring using wireless smart sensor network–An overview. 2022. 163: p.108113.

DOI: 10.1016/j.ymssp.2021.108113

[4] Dong, Y., R. Song, and H. Liu, Bridges structural health monitoring and deterioration detection-synthesis of knowledge and technology. 2010, Alaska. Dept. of Transportation and Public Facilities.

[5] Matsuoka, K., et al., Influence of local deck vibrations on the evaluation of the maximum acceleration of a steel-concrete composite bridge for a high-speed railway. 2019. 200: p.109736.

DOI: 10.1016/j.engstruct.2019.109736

[6] Chilamkuri, K. and V.J.M.T.P. Kone, Monitoring of varadhi road bridge using accelerometer sensor. 2020. 33: pp.367-371.

DOI: 10.1016/j.matpr.2020.04.159

[7] Sekiya, H., K. Kimura, and C.J.S. Miki, Technique for determining bridge displacement response using MEMS accelerometers. 2016. 16(2): p.257.

DOI: 10.3390/s16020257

[8] Zhang, J., et al., Vibration and deformation monitoring of a long-span rigid-frame bridge with distributed long-gauge sensors. 2017. 30(2): p. B4016014.

DOI: 10.1061/(asce)as.1943-5525.0000678

[9] Komarizadehasl, S., et al., A novel wireless low-cost inclinometer made from combining the measurements of multiple MEMS gyroscopes and accelerometers. 2022. 22(15): p.5605.

DOI: 10.3390/s22155605

[10] Yu, Y., et al., Bridge deflection measurement using wireless mems inclination sensor systems. 2013. 6(1): pp.38-57.

[11] Tonelli, D., et al., Structural health monitoring based on acoustic emissions: Validation on a prestressed concrete bridge tested to failure. 2020. 20(24): p.7272.

DOI: 10.3390/s20247272