Defence of dissertation in the field of rock mechanics, Lauri Uotinen, M.Sc. (Tech.)
Photography for safer tunnels.
The public examination of the doctoral dissertation of Lauri Uotinen, M.Sc. (Tech.), will be held on 29 May 2018 at 12.00 at the Aalto University School of Engineering. The title of the dissertation is Prediction of stress-driven rock mass damage in spent nuclear fuel repositories in hard crystalline rock and in deep underground mines. Field of the dissertation is g rock mechanics, stress-induced damage.
Nuclear power is an efficient way to produce energy, but it leaves behind spent nuclear fuel, which must be disposed of at a depth of hundreds of meters in the bedrock safely. Rock can break under gravity or rock stress, and displacements are concentrated at rock joints. In deep underground spaces, the stress can grow so great that the rock surface breaks. Prediction of stress-driven displacements is important for the stability of spent nuclear fuel canister holes. Rock stress and the induced displacements are also important for the design of stopes in deep mines.
During the doctoral research, a unique site experiment was planned to validate the stress-driven damage mitigating effect of rock reinforcement structures. Additionally, a new non-destructive method to manufacture rock joint replicas was developed using photogrammetry and 3D printing. To study the scale effect, the world’s largest 2.00 m x 0.95 m shear test for artificially induced rock joint was carried out.
The developed rock joint recording method may be utilized to determine the mechanical parameters of rock joints for strength calculations in the disposal of spent nuclear fuel. The invention commercialization project Fractuscan develops a corresponding service concept for open pit mines. Based on the dissertation, photography can be used to predict the stress-driven rock mass damage.
Opponents: Professor Ping Zhang, Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Mining and Geotechnical Engineering, Mining and Rock Engineering, Luleå, Sweden
Supervisor: Professor Mikael Rinne, Aalto University, School of Engineering, Department of Civil Engineering, Computational Modelling of Rock, Soil and Structures
Electronic dissertation: http://urn.fi/URN:ISBN:978-952-60-8005-5
Contact information: Lauri Uotinen, firstname.lastname@example.org