Performance analysis of empirical models for predicting rock mass deformation modulus using regression and Bayesian methods
Open Access
- 22 August 2020
- journal article
- research article
- Published by Elsevier BV in Journal of Rock Mechanics and Geotechnical Engineering
- Vol. 12 (6), 1263-1271
- https://doi.org/10.1016/j.jrmge.2020.03.007
Abstract
No abstract availableKeywords
This publication has 38 references indexed in Scilit:
- Estimation of the rock mass deformation modulus using a rock classification systemGeomechanics and Geoengineering, 2013
- A comparative study for empirical equations in estimating deformation modulus of rock massesTunnelling and Underground Space Technology, 2012
- Assessment of deformation modulus of weak rock masses from pressuremeter tests and seismic surveysBulletin of Engineering Geology and the Environment, 2008
- Ground behaviour and rock engineering tools for underground excavationsTunnelling and Underground Space Technology, 2007
- Evaluation of geotechnical property variabilityCanadian Geotechnical Journal, 1999
- Characterization of geotechnical variabilityCanadian Geotechnical Journal, 1999
- Applicability of the geological strength index (GSI) classification for very weak and sheared rock masses. The case of the Athens Schist FormationBulletin of Engineering Geology and the Environment, 1998
- Characterizing rock masses by the RMi for use in practical rock engineering, part 2: Some practical applications of the rock mass index (RMi)Tunnelling and Underground Space Technology, 1996
- Characterizing rock masses by the RMi for use in practical rock engineering: Part 1: The development of the Rock Mass index (RMi)Tunnelling and Underground Space Technology, 1996
- Engineering classification of rock masses for the design of tunnel supportRock Mechanics and Rock Engineering, 1974