Deep Learning / Machine Learning Approaches for Predictive Modeling of Rock Engineering Properties in the Underground Spaces
Ghader Saadati and Barbara Schneider-Muntau, Javad Mohebbi Abad (Islamic Azad University of Quchan), Sina Javankhoshdel (Rocscience, York University)
Tunnel deformation analysis is complex due to uneven rock mass properties. Traditional methods are challenging, while numerical analysis requires accurate input parameters. This Ph.D. project aims to develop a geotechnical monitoring database and create an Artificial Back Analysis (ABA) software to optimize and validate rock properties for tunnels. Objectives include database creation, stability analysis, dataset generation, and software development for future tunnel projects.