Determine train load and speed based on dynamic displacement results

The load and operational speed of trains on railway bridges play a significant role. In the context of increasing demand for rail transport, accurately determining these parameters not only helps ensure safety but also brings economic benefits and optimizes system efficiency. This research aims to determine the load and speed of trains based on dynamic displacement results obtained from sensors installed on railway bridges. The study was applied on a real urban railway bridge. The dynamic displacement data of the railway bridge under the influence of passing trains is collected using high-sensitivity LVDT sensors. By applying finite element models (FEM) and real-time displacement data analysis combined with optimization algorithms, the estimation of train load and speed is performed. The analysis results show that the estimated load and speed values are relatively accurate compared to reality. This method helps to accurately monitor and manage train load and speed. The research findings will contribute to improving safety, operational efficiency, and provide a solid scientific foundation for enhancing the railway transportation system.