Proceedings of the
8th International Symposium on Geotechnical Safety and Risk (ISGSR)
14 – 16 December 2022, Newcastle, Australia
Editors: Jinsong Huang, D.V. Griffiths, Shui-Hua Jiang, Anna Giacomini, Richard Kelly
doi:10.3850/978-981-18-5182-7_12-003-cd
Probabilistic Approach for Evaluating Relationship between Rock Drilling Energy and P-Wave Velocity
1Graduate School of Environmental and Life Science, Okayama University, 3-1-1 Tsushima naka, Kita-ku, Okayama 7008530, Japan.
2Kajima Technical Research Institute Singapore, Kajima Corporation, 80 Marine Parade Road, #08-08 Parkway Parade 449269, Singapore.
3Kajima Technical Research Institute, Kajima Corporation, 2-19-1 Tobitakyu, Chofu-shi, Tokyo 1820036, Japan.
ABSTRACT
The computer drilling jumbo in rock tunnelling can collect a large amount of drilling data on blasting and rock bolting holes in almost real-time. Subsequently, the three-dimensional spatial distribution of the rock drilling energy data can be easily and immediately obtained during tunnel excavation. However, in order to utilize these data for tunnel support design, it is necessary to convert those properties into physical rock properties such as deformation modulus, compressive strength, and P-wave velocity. In this study, we proposed a statistical transformation model to obtain the three-dimensional spatial distribution of the P-wave velocity of rock mass from the rock drilling energy data. The proposed model is used to determine rock properties in a finite difference simulation simulation of actual tunnel excavation, and the applicability of the transformation model is demonstrated by comparing numerical simulation results with observation data.
Keywords: Rock property, uncertainty, tunneling, drilling energy coefficient, bivariate Gaussian probability distribution.
