Results 21 to 30 of about 6,112 (272)

Estimating the joint roughness coefficient of discontinuities found in metamorphic rocks [PDF]

Bulletin of Engineering Geology and the Environment, 2008
The paper presents the results of different methods of determining the roughness of joints in quartzites, metagreywackes and phyllites obtained from road cuts in central Portugal. The evaluation of the joint roughness coefficient (JRC) was carried out using graphical and analytical procedures.
Andrade, Pedro, Saraiva, António
openaire   +4 more sources

Symbolic Regression for the Determination of Joint Roughness Coefficient

Mathematical 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   +2 more sources

Experimental Study of Joint Roughness Influence on Fractured Rock Mass Seepage

Geofluids, 2021
Surrounding rock pressure, water pressure, and joint roughness are the important factors that affect the fractured rock mass seepage. It is of great significance to quantify the influence of these factors through experiments. In this study, rock fracture
Zhongxi Tian, Chunquan Dai, Qingshuang Zhao, Zhaobo Meng, Baoliang Zhang   +4 more
doaj   +2 more sources

A New Characterization Method for Rock Joint Roughness Considering the Mechanical Contribution of Each Asperity Order

Applied Sciences, 2021
The morphology of the joint surface is multi-scale, and it can be divided into first-order asperity (waviness) and second-order asperity (unevenness). At present, the joint roughness characterization formula considers only the morphology contribution of ...
Zhouhao Yuan, Yicheng Ye, Binyu Luo, Yang Liu   +3 more
doaj   +2 more sources

Morphological classification method and data-driven estimation of the joint roughness coefficient by consideration of two-order asperity

Reviews on Advanced Materials Science, 2023
The roughness of the joint surface plays a significant role in evaluating the shear strength of rock. The waviness (first-order) and unevenness (second-order) of natural joints have different effects on the characterization of joint surface roughness. To
Hu Yunpeng, Feng Wenkai, Li Wenbin, Yi Xiaoyu, Liu Kan, Ye Longzhen, Zhao Jiachen, Lu Xianjing, Zhang Ruichao   +8 more
doaj   +2 more sources

A New Method to Estimate the Joint Roughness Coefficient by Back Calculation of Shear Strength

Advances in Civil Engineering, 2019
The joint roughness coefficient (JRC) is an important factor affecting the shear properties of rock joints, and its accurate estimation is a challenging task in rock engineering.
Jiu-yang Huan, Ming-ming He, Zhi-qiang Zhang, Ning Li   +3 more
doaj   +2 more sources

Heterogeneity Measures for Analyzing the Scale Effect and Anisotropy of Joint Roughness

Journal of Mathematics
Joint roughness of rock joints is one of the key factors influencing the mechanical properties of rock joints. The influence of joint roughness on the mechanical properties of rock mass is usually quantitatively characterized by joint roughness ...
Jibo Qin, Zhenhan Zhang, Jun Ye
doaj   +2 more sources

Revisiting scale effect on joint roughness coefficient and shear strength considering sampling methods and geometric characteristics

Journal of Rock Mechanics and Geotechnical Engineering
The scale effect on shear strength of rock joints is well-documented. However, whether scale effects are negative, positive, or even exist or not is still controversial. Joint roughness significantly influences the shear strength of rock joints. Compared
Qing Lü, Xueheng Cai, Luxiang Wu, Jun Zheng, Bo Li   +4 more
doaj   +2 more sources

New 2D roughness parameters with geometric and physical meanings for rock joints and their correlation with joint roughness coefficient

Frontiers in Earth Science
Determining the joint roughness accurately will better serve the peak shear strength estimation models of rock joints used for stability assessment of rock masses.
Cheng He, Huiming Tang, Huiming Tang, Kun Fang, Sixuan Sun   +4 more
doaj   +2 more sources

Quantitative estimation of joint roughness coefficient using statistical parameters

International Journal of Rock Mechanics and Minings Sciences, 2015
where τ is the peak shear strength of the rock joint, σ is the normal stress, JRC is the joint roughness coefficient, JCS is the strength of joint wall, φb is the basic friction angle. Over the last half century, researchers have kept working on techniques for estimating JRC of rock joints for or from this model.
Yanrong Li, Yongbo Zhang
exaly   +2 more sources