ABSTRACT
Tunnels constructed using Tunnel Boring Machines (TBMs) face the challenge of lacking reliable techniques for geological-geotechnical recognition during excavation, which hinders the optimization of excavation parameters. Through an advanced analysis of geotechnical monitoring results, GEPRODE addresses this limitation with the goal of anticipating ground behavior. geoRISCO, a platform developed by GEPRODE, uses AI and Machine Learning to combine real-time data from instrumentation and TBM parameters during the pre-excavation phase and compares them with data from the previous excavated section to predfuture ground behavior. This improves decision-making and minimizes geological risks. ACCIONA co-finances the development of geoRISCO through its I’MNOVATION 2024 program of which GEPRODE was the winning startup. For validation, ACCIONA provides Line 6 of the São Paulo Subway, which is currently under construction. Overall, geoRISCO has the potential to revolutionize the tunnel excavation industry by enhancing the precision, efficiency, and safety during excavation.
