Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review

V. Guru Rupesh*, B. Vidya**
*-** Department of Civil Engineering, Gayatri Vidya Parishad College for Degree and PG Courses (A), Visakhapatnam, Andhra Pradesh, India.
Periodicity:April - June'2023
DOI : https://doi.org/10.26634/jce.13.2.19841


This study evaluates the works carried out for fatigue life prediction of reinforced concrete girders and columns in concrete bridges, utilizing the guidelines outlined by the Indian Road Congress (IRC). To accurately predict fatigue damage on bridges, a dynamic bridge-vehicle interaction model was employed to capture the effects of trafficinduced dynamic loads. The time to the first cracking distribution function was calculated using a dedicated model, enabling the assessment of fatigue life under various amplitude loading scenarios. The model incorporates S-N curves and Miner's rule, which are widely used techniques for measuring fatigue on structures, to evaluate the cumulative damage caused by cyclic loading. Wireless sensors were used in structural monitoring systems to monitor the health of bridges. This paper describes investigations that assess the performance of wireless strain-monitoring devices. These advanced systems offer improved efficiency, cost-effectiveness, and ease of installation compared with traditional monitoring systems. The research presented herein aims to provide a comprehensive approach for evaluating and predicting the fatigue life of reinforced concrete girders and columns in bridges. The proposed model, combined with dynamic bridge-vehicle interaction simulations and wireless strain monitoring devices, offers a robust framework for bridge engineers to effectively assess the structural integrity and maintenance needs of concrete bridges, ultimately enhancing their durability and safety.


Bridge, Fatigue, Reinforced Concrete, Strain, Nodes, Wireless Sensor Network.

How to Cite this Article?

Rupesh, V. G., and Vidya, B. (2023). Fatigue Life Prediction of Concrete Bridges using Wireless Sensors - A Review. i-manager's Journal on Civil Engineering, 13(2), 38-54. https://doi.org/10.26634/jce.13.2.19841


[2]. Awad, S. F., Kadhim, F., Aboud, W., & Tahi, M. A. D. (2022). Strain and deformation measurement for prosthetic parts using the Arduino microcontroller and strain gauges instruments. International Journal of Mechanical Engineering, 7(1), 1049-1055.
[8]. Lynch, J. P., & Loh, K. J. (2006). A summary review of wireless sensors and sensor networks for structural health monitoring. Shock and Vibration Digest, 38(2), 91-130.
[10]. Miner, M. A. (1945). Cumulative damage in fatigue. Journal of Applied Mechanics, 12(3), 159-164.
[15]. Rao, V. G., & Talukdar, S. (2003). Prediction of fatigue life of a continuous bridge girder based on vehicle induced stress history. Shock and Vibration, 10(5-6), 325-338.
[17]. Souza, R. M., Queiroz, R. L., Lobato, S. L. A., Sampaio, R. A. C., & de Azevedo, A. A. (2009). Fatigue life prediction of prestressed and reinforced concrete railway bridges. International Heavy Haul Conference Shanghai.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.