Zheng Li
Contact
Grad Research Asst Fellowship, Faculty of Engineering - Civil and Environmental Engineering Dept
- zli29@ualberta.ca
- Phone
- (825) 983-4693
- Address
-
6-244 Donadeo Innovation Centre For Engineering
9211 116 StEdmonton ABT6G 2H5
Grad Teaching Assistantship, Faculty of Engineering - Civil and Environmental Engineering Dept
- zli29@ualberta.ca
Overview
Area of Study / Keywords
Rock Mechanics Rock Dynamics Risk Assessment
About
Zheng is currently pursuing a Ph.D. in Mining Engineering under the supervision of Dr. Derek Apel.
Education:
MEng, Resource and Environmental Engineering, Central South University, China, 2025
BEng, Safety Eningeering, Shandong University of Science and Technology, China, 2022
Research
Current research focus on rock dynamics and developing shear-thickening fluid based blasting stemming.
Zheng's esearch interests focus on rock mechanics and mining engineering, with particular emphasis on rockburst risk assessment and control, as well as microdefect and damage characterization in hard rocks. He has experience in laboratory rock mechanics testing, microseismic signal analysis, CT images processing, combined with numerical simulation applied to rockburst proneness evalution, rockburst failure mechanism, stope design optimization, and ground subsidence analysis.
Publication:
- Li, Z., Liang, W., & Yin, T. (2026). Hybrid strengthening-weakening effects of microdefects on mechanical properties and energy evolution of granite. Journal of Rock Mechanics and Geotechnical Engineering, In Press.
- Li, Z., Liang, W., & Lu, P. (2025). Probabilistic prediction of rockburst hazard using Monte Carlo simulation and MAIRCA approach. Environmental Earth Sciences, 84(12), 326.
- Li, Z., Liang, W., & Zhao, G. (2023). Rockburst hazard evaluation using an extended COPRAS method with interval-valued fuzzy information. Applied Sciences, 13(17), 9941.
- Liang, W., Li, Z., Xiong, Y., Zhao, G., & Peng, K. (2024). An integrated decision-making framework for rockburst hazard evaluation under uncertain environment: a case study of Linglong gold mine. Environmental Earth Sciences, 83(13), 394.
- Liang, W., Liu, Y., Lu, P., & Li, Z.* (2025). A BSMOTE-OOA-SuperLearner Hybrid Framework for Interpretable Prediction of Pillar Stability. Symmetry, 18(1), 49.
- Rockburst risk assessment and control of deep hard rock (in Chinese), ISBN 9787548759478. Central South University Press