AI-Driven Seismic Tunnel Damage Prediction: A Robust Model for Risk Assessment and Mitigation in Earthquake-Prone Region

In the heart of the tectonically dynamic Himalayas, Jammu and Kashmir faces the relentless threat of moderate to large earthquakes, endangering vital tunnel infrastructure. This study pioneers a cutting-edge Seismic Tunnel Damage Prediction (STDP) model that harnesses the power of deep learning to revolutionize risk assessment in these earthquake-prone regions. By meticulously examining historical tunnel damage from significant seismic events, the model integrated a range of critical parameters that influence tunnel vulnerability and damage potential. The model developed in this study outperformed previous models. The STD multiple-graphs serve as a ready-to-use tool for efficient damage assessment.