Fatigue life prediction of concrete bridges using wireless sensors - A review

Abstract

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.