Optimized Reuse of Tunnel and Excavation Materials in Civil Engineering and Tunnel Construction using AI-supported Sensor Technologies

Abstract Large-scale projects such as the expansion of the Trans European Transport Network (TEN-T) corridors, constructing the Future Circular Collider (FCC), and the Einstein Telescope generate millions of m 3 of excavated material, creating a major sustainability challenge. Our approach develops innovative solutions for reusing excavated materials by combining chemical-mineralogical and geotechnical analyses, AI-based classification, and a dedicated database. The aim is to give a high-quality purpose to the material without extensive temporary stored excavation on construction sites, reduce landfill use, conserve resources, and ultimately establish an EU-wide directive to end the waste status of excavated materials.