Affiliation:
1. Department Engineering, Geology & Geotechnics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
2. Gecko Geotechnics LLC, Kingstown 1471, Saint Vincent and the Grenadines
Abstract
The Q-system and Q-slope are empirical methods developed for classifying and assessing rock masses for tunneling, underground mining, and rock slope engineering. Both methods have been used extensively to guide appropriate ground support design for underground excavations and stable angles for rock slopes. Using datasets obtained from igneous, sedimentary, and metamorphic rock slopes from various regions worldwide, this research investigates different relationships between the geological strength index (GSI) and the Q-system and Q-slope. It also presents relationships between chart-derived GSI with GSI estimations from RMR89 and Q’ during drill core logging or traverse mapping. Statistical analysis was used to assess the reliability of the suggested correlations to determine the validity of the produced equations. The research demonstrated that the proposed equations provide appropriate values for the root mean squared error value (RMSE), the mean absolute percentage error (MAPE), the mean absolute error (MAE), and the coefficient of determination (R-squared). These relationships provide appropriate regression coefficients, and it was identified that correlations were stronger when considering metamorphic rocks rather than other rocks. Moreover, considering all rock types together, achieved correlations are remarkable.
Funder
Ministry of Culture and Innovation of Hungary
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference48 articles.
1. Bieniawski, Z.T. (1989). Engineering Rock Mass Classifications: A Complete Manual for Engineers and Geologists in Mining, Civil, and Petroleum Engineering, Wiley.
2. State of the Art: Limit Equilibrium and Finite-Element Analysis of Slopes;Duncan;J. Geotech. Eng.,1996
3. Gebirgsklassifizierung für den Stollenbau;Lauffer;Geol. Bauwes.,1958
4. Eberhardt, E. (2017, June 01). Geological Engineering Practice I—Rock Engineering, Lecture 5 [PowerPoint Slides]. Available online: https://www.eoas.ubc.ca/courses/eosc433/lecture-material/L5-EmpiricalDesign.pdf.
5. Reliability of Hoek-Brow estimates of Rock Mass properties and their impact design;Hoek;Int. J. Rock Mech. Min. Sci. Geomech. Abst.,1998
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