TY - JOUR
T1 - Multivariate probability distribution for some intact rock properties
AU - Ching, Jianye
AU - Phoon, Kok Kwang
AU - Li, Kuang Hao
AU - Weng, Meng-Chia
PY - 2019/8
Y1 - 2019/8
N2 - A multivariate probability distribution model for nine parameters of intact rocks, including unit weight (γ), porosity (n), L-type Schmidt hammer hardness (RL), Shore scleroscope hardness (Sh), Brazilian tensile strength (σbt), point load strength index (Is50), uniaxial compressive strength (σc), Young’s modulus (E), and P-wave velocity (Vp), is constructed based on the ROCK/9/4069 database that was compiled by the authors. It is shown that the multivariate probability distribution captures the correlation behaviors in the database among the nine parameters. This multivariate distribution model serves as a prior distribution model in the Bayesian analysis and can be updated into the posterior distribution of the design intact rock parameter when multivariate site-specific information is available. In this paper, the parameters for the posterior distribution of the design intact rock parameter are summarized into user-friendly tables so that engineers do not need to conduct the actual Bayesian analysis. Caution should be taken in extrapolating the results of this paper to cases that are not covered by ROCK/9/4069, because the resulting posterior distribution can be misleading.
AB - A multivariate probability distribution model for nine parameters of intact rocks, including unit weight (γ), porosity (n), L-type Schmidt hammer hardness (RL), Shore scleroscope hardness (Sh), Brazilian tensile strength (σbt), point load strength index (Is50), uniaxial compressive strength (σc), Young’s modulus (E), and P-wave velocity (Vp), is constructed based on the ROCK/9/4069 database that was compiled by the authors. It is shown that the multivariate probability distribution captures the correlation behaviors in the database among the nine parameters. This multivariate distribution model serves as a prior distribution model in the Bayesian analysis and can be updated into the posterior distribution of the design intact rock parameter when multivariate site-specific information is available. In this paper, the parameters for the posterior distribution of the design intact rock parameter are summarized into user-friendly tables so that engineers do not need to conduct the actual Bayesian analysis. Caution should be taken in extrapolating the results of this paper to cases that are not covered by ROCK/9/4069, because the resulting posterior distribution can be misleading.
KW - Bayesian analysis
KW - Correlations
KW - Intact rock properties
KW - Multivariate probability distribution
KW - Transformation models
UR - http://www.scopus.com/inward/record.url?scp=85070105802&partnerID=8YFLogxK
U2 - 10.1139/cgj-2018-0175
DO - 10.1139/cgj-2018-0175
M3 - Article
AN - SCOPUS:85070105802
SN - 0008-3674
VL - 56
SP - 1080
EP - 1097
JO - Canadian Geotechnical Journal
JF - Canadian Geotechnical Journal
IS - 8
ER -