
Overview
Background
Dr Qi Shao is a Postdoctoral Research Fellow at the Julius Kruttschnitt Mineral Research Centre (JKMRC), where his primary research focus is on modelling mineral separation processes using Computational Fluid Dynamics (CFD) simulations. His recent work has applied CFD to a range of mineral separation equipment, including the Teeter Bed Separator, CrossFlow, HydroFloat, conventional mechanical flotation cells, and the Jameson Cell. By examining hydrodynamics and performance across varying operating conditions and equipment designs, his research aims to enhance separation efficiency, reduce energy consumption, and boost productivity.
Dr Shao earned his PhD in Environmental Engineering from The University of Queensland, where he developed numerical models using Cellular Automata to simulate hydrological processes in mining landforms. Following his PhD, he continued at UQ as a Postdoctoral Research Fellow, investigating fluid-particle interactions in hydraulic erosion of granular structures through coupled CFD and Discrete Element Method (DEM) simulations.
Prior to his current role, Dr Shao conducted research at the University of Melbourne, focusing on numerical simulations of solute transport and multiphase flows in heterogeneous porous media. His work addressed critical environmental and engineering challenges, including contaminant transport, geological CO₂ sequestration, and groundwater flow dynamics.
Dr Shao’s expertise spans a wide array of numerical methods, including Finite Element Method (FEM), Finite Volume Method (FVM), DEM, Cellular Automata, and Discrete Event Simulation, which he applies to solve complex problems across environmental and mineral engineering domains.
Availability
- Dr Qi Shao is:
- Available for supervision
Fields of research
Qualifications
- Bachelor of Environmental Science, Beijing Forestry University (北京林业大学)
- Masters (Research) of Environmental Science, Beijing Normal University (北京师范大学)
- Doctor of Philosophy of Environmental Engineering, The University of Queensland
Research interests
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Computational Modelling of Mineral Separation Processes
I use Computational Fluid Dynamics (CFD) to simulate and optimise mineral separation equipment such as flotation cells, HydroFloat, and Teeter Bed Separators. My research focuses on understanding hydrodynamics and improving separation efficiency under varying operating conditions and equipment designs. This work supports the development of more energy-efficient and productive mineral processing technologies.
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Numerical Simulation of Multiphase Flows in Porous Media
I develop and apply numerical models to study solute transport and multiphase flow in heterogeneous porous media. This work addresses challenges in groundwater contamination, CO₂ sequestration, and subsurface fluid dynamics, using methods such as Finite Volume and Finite Element.
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Fluid - Particle Interaction and Hydraulic Erosion
My research explores fluid - particle interactions in granular structures using coupled CFD and Discrete Element Method (DEM) simulations. I investigate hydraulic erosion mechanisms, aiming to improve the stability and design of granular systems under fluid flow.
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Surface Runoff and Erosion Modelling of Rehabilitated Mining Landforms
I develop numerical models to simulate surface runoff and erosion processes in post-mining landscapes, with a focus on rehabilitated landforms. Using Cellular Automata and other modelling techniques, my research aims to predict long-term hydrological behaviour and assess landform stability. This work supports sustainable mine closure strategies and improves environmental outcomes in mining rehabilitation.
Works
Search Professor Qi Shao’s works on UQ eSpace
2014
Journal Article
Effectiveness of geotextile mulches for slope restoration in semi-arid northern China
Shao, Qi, Gu, Wei, Dai, Quan-yu, Makoto, Saito and Liu, Yang (2014). Effectiveness of geotextile mulches for slope restoration in semi-arid northern China. Catena, 116, 1-9. doi: 10.1016/j.catena.2013.12.006
2014
Journal Article
Estimating input parameters for four infiltration models from basic soil, vegetation and rainfall properties
Shao, Qi and Baumgartl, Thomas (2014). Estimating input parameters for four infiltration models from basic soil, vegetation and rainfall properties. Soil Science Society of America Journal, 78 (5), 1507-1521. doi: 10.2136/sssaj2014.04.0122
2012
Journal Article
Rock slope classification based on vegetation restoration and habitat reconstruction technology of slope surface
Gu, Wei, Shao, Qi, Dai, Quanyu and Chen, Shuyue (2012). Rock slope classification based on vegetation restoration and habitat reconstruction technology of slope surface. Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 20 (5), 745-758. doi: 10.3969/j.issn.1005-0930.2012.05.001
2012
Journal Article
Experimental study on woody plant community construction of road rock slope in semi-arid area: a case study on Chifeng-Tongliao Expressway in Inner Mongolia
Saito, Makoto, Shao, Qi, Gu, Wei, Dai, Quanyu, Togishi, Satoshi and Liu, Yang (2012). Experimental study on woody plant community construction of road rock slope in semi-arid area: a case study on Chifeng-Tongliao Expressway in Inner Mongolia. Journal of Highway and Transportation Research and Development, 6 (1), 89-95. doi: 10.1061/jhtrcq.0000097
2010
Journal Article
Experimental study on drainage with the application of plastic blind drains at the bottom of the external soil on side slopes
Gu, Wei, Shao, Qi and Xu, Yingjun (2010). Experimental study on drainage with the application of plastic blind drains at the bottom of the external soil on side slopes. Yingyong Jichu yu Gongcheng Kexue Xuebao/Journal of Basic Science and Engineering, 18 (3), 379-389. doi: 10.3969/j.issn.1005-0930.2010.03.002
Supervision
Availability
- Dr Qi Shao is:
- Available for supervision
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Supervision history
Completed supervision
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2023
Doctor Philosophy
Soil Erosion Modelling for Rehabilitated Landforms
Associate Advisor
Other advisors: Professor Neil McIntyre
Media
Enquiries
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