Results 91 to 100 of about 3,185 (188)

Reconstruction of Shear Surface Based on Joint Roughness Coefficient and Its Relation to Rock Shear Strength [PDF]

open access: yes
Rock strength is a fundamental parameter in rock mechanics, serving as the basis for predicting rock behavior under different loading conditions. Among the various approaches to characterizing rock strength, shear testing of discontinuities plays a ...
Hardiono, Enver   +2 more
core   +1 more source

Mapping Europe into local climate zones [PDF]

open access: yes, 2019
Cities are major drivers of environmental change at all scales and are especially at risk from the ensuing effects, which include poor air quality, flooding and heat waves.
Bechtel, Benjamin   +3 more
core   +2 more sources

Symbolic Regression for the Determination of Joint Roughness Coefficient

open access: yesMathematical and Computational Applications
In this study, a novel symbolic regression-based empirical equation has been developed to compute the joint roughness coefficient (JRC) value based on the statistical parameters of rock joints.
Yuyang Zhao, Hongbo Zhao
doaj   +1 more source

Numerical Simulation of Shear Behavior and Permeability Evolution of Rock Joints with Variable Roughness and Infilling Thickness

open access: yesGeofluids, 2018
The mechanical properties and permeability evolution of sand-infilled rock joints during the shear process is an important issue in rock engineering, such as it pertains to hydraulic fractures filled with proppant.
Jingyi Cheng, Hongwei Zhang, Zhijun Wan
doaj   +1 more source

Intercomparison of 3D turbulence parameterizations for dispersion models in complex terrain derived from a circulation model [PDF]

open access: yes, 1997
A procedure for estimating 3D turbulent parameters from the outputs of a circulation model to be used as input of a random flight model for complex terrain dispersion simulation is presented.
Anfossi, D., Trini Castelli, S.
core  

A Fractal Topology-Based Method for Joint Roughness Coefficient Calculation and Its Application to Coal Rock Surfaces

open access: yesModelling
The accurate evaluation of the Joint Roughness Coefficient (JRC) is crucial for rock mechanics engineering. Existing JRC prediction models based on a single fractal parameter often face limitations in physical consistency and predictive accuracy.
Rui Wang, Jiabin Dong, Wenhao Dong
doaj   +1 more source

지상레이저스캐너와 인공신경망을 이용한 암반 노출면의 절리 거칠기 지수 측정 [PDF]

open access: yes, 2023
학위논문(석사) -- 서울대학교대학원 : 공과대학 에너지시스템공학부, 2023. 2. 전석원.Joint Roughness Coefficient (JRC) is a parameter representing degree of roughness of rock discontinuities in Barton-Bandis joint model. It can be measured by visual comparison between roughness profiles
이승원
core  

Investigating the Mechanical and Failure Evolution of Saw-Tooth Jointed Rock Materials: A Numerical Study Under Uniaxial Compression

open access: yesApplied Sciences
Joint roughness coefficient (JRC) and inclination exert a decisive influence on the stability and safety of rock mass engineering. Simulations of uniaxial compression were conducted on saw-tooth-shaped joint specimens using a calibrated particle flow ...
Yunda Dong   +3 more
doaj   +1 more source

Back analysis of the 2014 San Leo Landslide using combined terrestrial laser scanning and 3D distinct element modelling [PDF]

open access: yes, 2015
This is the author accepted manuscript. The final version is available from Springer Verlag via http://dx.doi.org/10.1007/s00603-015-0763-5© 2015 Springer-Verlag Wien Landslides of the lateral spreading type, involving brittle geological units overlying ...
Bitelli, G   +9 more
core   +1 more source

Correlation between the Joint Roughness Coefficient and Rock Joint Statistical Parameters at Different Sampling Intervals

open access: yesAdvances in Civil Engineering, 2019
Joint roughness coefficient (JRC) is a major factor that affects the mechanical properties of rock joints. Statistical methods that are used to calculate the JRC increasingly depend on a sampling interval (Δx). The variation rules of fitting parameters a,
Man Huang   +4 more
doaj   +1 more source

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