FP3-IAM4RAIL WP13 Implementation and Demonstration of Intelligent Maintenance Tools for Civil Engineering Asset Management

Work Package 13 Team, MerMec headquarters, Monopoli – Italy

Work Package 13 (WP13), from the FP3-IAM4Rail project, drives intelligent maintenance tools for railway infrastructure through more than ten demonstrators across five European countries. Using satellites, drones, LiDAR, sensors and AI/ML models, the project monitors bridges, tunnels, slopes and transition zones, addressing risks such as subsidence, structural fatigue, vegetation growth and hydrogeological hazards. In Italy and Spain, Digital Twins were developed, integrating real-time data with predictive models to optimise maintenance and prevent failures. In the Netherlands, hybrid neural networks and new KPIs were applied to assess transition zone health and enable proactive maintenance. In Norway, concrete bridges under extreme conditions are being monitored to predict future performance. In France, seismic techniques and advanced tunnel inspection systems were validated, with automatic rating and predictive tools to anticipate deterioration. Altogether, WP13 demonstrates a holistic, data-driven approach to railway asset management, enhancing safety, resilience and efficiency.

Check Newsletter 20 here for more information.