Liu, Huaxin and Qi, Xiaohui (2018) Random field characterization of uniaxial compressive strength and elastic modulus for intact rocks. Geoscience Frontiers, 9 (6). pp. 1609-1618. ISSN 1674-9871
|
Text
1-s2.0-S1674987117302098-main.pdf - Published Version Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (1MB) | Preview |
Abstract
Rock properties exhibit spatial variabilities due to complex geological processes such as sedimentation, metamorphism, weathering, and tectogenesis. Although recognized as an important factor controlling the safety of geotechnical structures in rock engineering, the spatial variability of rock properties is rarely quantified. Hence, this study characterizes the autocorrelation structures and scales of fluctuation of two important parameters of intact rocks, i.e. uniaxial compressive strength (UCS) and elastic modulus (EM). UCS and EM data for sedimentary and igneous rocks are collected. The autocorrelation structures are selected using a Bayesian model class selection approach and the scales of fluctuation for these two parameters are estimated using a Bayesian updating method. The results show that the autocorrelation structures for UCS and EM could be best described by a single exponential autocorrelation function. The scales of fluctuation for UCS and EM respectively range from 0.3 m to 8.0 m and from 0.3 m to 8.4 m. These results serve as guidelines for selecting proper autocorrelation functions and autocorrelation distances for rock properties in reliability analyses and could also be used as prior information for quantifying the spatial variability of rock properties in a Bayesian framework.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Autocorrelation function, Bayesian approach, Elastic modulus, Scale of fluctuation, Spatial variability, Uniaxial compressive strength |
Subjects: | F900 Others in Physical Sciences H900 Others in Engineering |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Depositing User: | Rachel Branson |
Date Deposited: | 10 Nov 2021 15:08 |
Last Modified: | 10 Nov 2021 15:15 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/47695 |
Downloads
Downloads per month over past year