Rate My Professor Danqi Li

Danqi Li's research specializations involve the development and utilization of laboratory facilities and procedures for investigating rock and cable bolts performance under axial and/or shear loading. His academic interests also include constitutive and numerical modelling of cable and rock bolts under axial loading. Key publications encompass "AI-based performance prediction for 3D-printed concrete considering anisotropy and steam curing condition" (2023), "Experimental and numerical studies on progressive debonding of grouted rock bolts" (2022), "A new shear strength criterion of three-dimensional rock joints" (2020), "End-to-end deep learning model for underground utilities localization using GPR" (2023), "Numerical simulation of fully encapsulated rock bolts with a tri-linear constitutive relation" (2022), "A physics-guided hierarchical deep learning framework for underground rock reinforcement compliance check based on 4D point cloud data" (2025), "Prediction and risk assessment of stress corrosion failures of prestressed anchors in underground mines" (2025), "Slope Stability Analysis of Open-Pit Mine Considering Weathering Effects" (2024), "Investigation into hydrogen induced fracture of cable bolts under deep stress corrosion coupling conditions" (2024), "Borehole deformation based in situ stress estimation using televiewer data" (2023), "Mechanical behaviour of fiber-reinforced grout in rock bolt reinforcement" (2023), "A Constitutive Model to Reveal the Anchorage Mechanism of Fully Bonded Bolts" (2022), and "Laboratory Investigations into the Failure Mechanisms of New Yielding and Inflatable Rockbolts Under Axial and Shearing Loading Conditions" (2022). These works contribute to advancements in rock reinforcement and mining engineering.