Quasi-site-specific prediction for deformation modulus of rock mass
Journal
Canadian Geotechnical Journal
Journal Volume
58
Journal Issue
7
Pages
936-951
Date Issued
2021
Author(s)
Abstract
A generic rock mass database consisting of nine parameters is compiled from 225 studies. The nine parameters are the deformation modulus, elastic modulus, dynamic modulus, rock quality designation, rock mass rating, Q-system, geological strength index of a rock mass, as well as intact-rock Young’s modulus and intact-rock uniaxial compressive strength. This generic database, labeled as ROCKMass/9/5876, consists of 5876 rock mass cases. The goal of this paper is to examine how an existing transformation model such as deformation modulus versus rock mass rating can be made more unbiased and more precise for a specific site by combining sparse site data with ROCKMass/9/5876 in a manner sensitive to site-specific differences. The outcome is a quasi-site-specific transformation model. Four methods are studied to construct a quasi-site-specific transformation model for the deformation modulus of a rock mass: probabilistic multiple regression (cur-rent state of practice), hybridization method, hierarchical Bayesian model, and similarity method. The results from two case studies in Turkey show that the hierarchical Bayesian model is the most effective. ? Canadian Science Publishing. All rights reserved.
Subjects
Deformation modulus
Hierarchical Bayesian model
Quasi-site-specific transformation model
Rock mass properties
ROCKMass/9/5876
Site recognition challenge
Bayesian networks
Compressive strength
Deformation
Metadata
Rock mechanics
Geological strength index
Hierarchical Bayesian modeling
Hybridization methods
Multiple regressions
Rock quality designation
Transformation model
Uniaxial compressive strength
Rocks
Bayesian analysis
compressive strength
database
deformation
elastic modulus
multiple regression
parameterization
probability
regression
rock mass response
Turkey
Meleagris gallopavo
SDGs
Type
journal article