Statistical Analysis of the Q-system in Different Tunnelling Conditions
R.A. Ziebarth, A.G. Corkum
Dans les comptes rendus d’articles de la conférence: GeoSt. John's 2019: 72nd Canadian Geotechnical ConferenceSession: Rock Mechanics
ABSTRACT: Understanding of the quality of a rock mass is essential in determining the expected mode of failure and the support requirement for tunnel and cavern designs. The Q-system quantifies the quality of a rock mass, but due to the complex and varied mechanisms related to ground structure interaction, a single value is unlikely to classify the variety in a rock mass correctly. Statistical methods can account for uncertainty to select the suitable design value for Q instead of a deterministic value, based on estimated Q input parameters. In this study, the Monte Carlo simulation (MCS) method is used to apply statistical analysis to the Q-system. The paper describes the basis and methodology, in conjunction with a case study, to present the use of MCS analysis, of the Q-system, to associate a quantitative level of risk with determining ground support needs for tunnel and cavern excavations.
Please include this code when submitting a data update: GEO2019_291
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Ziebarth, R.A., Corkum, A.G. (2019) Statistical Analysis of the Q-system in Different Tunnelling Conditions in GEO2019. Ottawa, Ontario: Canadian Geotechnical Society.
@article{Ziebarth_GEO2019_291,
author = R.A. Ziebarth, A.G. Corkum,
title = Statistical Analysis of the Q-system in Different Tunnelling Conditions,
year = 2019
}
title = Statistical Analysis of the Q-system in Different Tunnelling Conditions,
year = 2019
}