
Creates a positive and motivating atmosphere.
Always clear, concise, and insightful.
Always approachable and easy to talk to.
Makes complex ideas simple and clear.
Knowledgeable and truly inspiring educator.
Dr. Danqi Li is a Senior Lecturer in the Western Australian School of Mines, Faculty of Science and Engineering, at Curtin University. He earned his PhD in Geotechnical Engineering and Mining Engineering from the University of New South Wales Sydney, completing it between March 2015 and February 2019. He previously obtained a Bachelor's degree in Mining Engineering from UNSW Sydney from March 2011 to November 2014. His career history includes serving as Senior Lecturer at Curtin University since 2023, Lecturer at Curtin University from 2021 to 2022, Assistant Lecturer at Monash University Department of Civil Engineering from 2019 to 2021, and Course Convenor in the School of Minerals and Energy Resources Engineering at UNSW Sydney from July 2018 to November 2018, where he fully delivered the Mine Planning course. During his time at Monash University, he fully delivered courses including Mine Asset Management and Mining Systems, with research focused on developing a fundamental understanding of the role of pre-tension in cable bolts for roof support and optimizing pre-tension magnitude for mine sites.
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.

Photo by Osarugue Igbinoba on Unsplash
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