Results 31 to 40 of about 6,112 (272)

HELIOS-Stack: A Novel Hybrid Ensemble Learning Approach for Precise Joint Roughness Coefficient Prediction in Rock Discontinuity Analysis [PDF]

Materials (Basel)
Accurate joint roughness coefficient (JRC) estimation is crucial for understanding rock mass mechanical behavior, yet existing predictive models show limitations in capturing complex morphological characteristics of geological surfaces.
Hang Lin, Hongwei Liu, Ibrahim Haruna Umar, Rihong Cao   +3 more
core   +2 more sources

Experimental investigation of the influence of friction, surface roughness and material hardness on the external load factor in threaded joints. [PDF]

PLoS ONE
Threaded joints, particularly bolted joints, are critical components in the design and fabrication of mechanical systems due to their high strength and ease of disassembly. Their widespread application spans across structural engineering, transportation,
Van Thuy Tran, Huu Loc Nguyen
doaj   +2 more sources

Analysis of the effect of joint roughness on the failure mechanism of jointed rock mass under direct shear loading.

PLoS ONE
The mechanical properties of jointed rock bodies are important in guiding engineering design and construction. Using the particle flow software PFC2D, we conducted direct shear test simulations on joints with various inclinations and five different ...
Zhongxing Wang, Yuanming Liu
doaj   +2 more sources

Numerical investigation of bolted rock joints under varying normal stress and joint roughness coefficient conditions

Frontiers in Earth Science
Rock masses are formed through long-term, complex geological processes, and the presence of joints significantly reduces their strength and increases their deformation.
Zhiyong Wang, Zhiyong Wang, Liyun Liao, Liyun Liao, Shiyi Guo, Shiyi Guo, Hanfang Zheng, Xuezhen Wu, Xuezhen Wu   +8 more
doaj   +2 more sources

A back-propagation neural network optimized by genetic algorithm for rock joint roughness evaluation

Journal of Rock Mechanics and Geotechnical Engineering
The joint roughness coefficient (JRC) is a key parameter in the assessment of mechanical properties and the stability of rock masses. This paper presents a novel approach to JRC evaluation using a genetic algorithm-optimized backpropagation (GA-BP ...
Leibo Song, Jieru Xie, Quan Jiang, Gang Wang, Shan Zhong, Guansheng Han, Jinzhong Wu   +6 more
doaj   +2 more sources

Determining the surface roughness coefficient by 3D Scanner

Geologija, 2010
Currently, several test methods can be used in the laboratory to determine the roughness of rock joint surfaces.However, true roughness can be distorted and underestimated by the differences in the sampling interval of themeasurement methods. Thus, these
Karmen Fifer Bizjak
doaj   +1 more source

A prediction model of the joint roughness coefficient based on Gaussian process regression

地质科技通报
Objective Estimating the joint roughness coefficient (JRC) is essential for evaluating the mechanical properties of a rock mass. Due to the limitation of a single statistical parameter for characterizing morphology, JRC values estimation by a single ...
Kexin ZHENG, Yiping WU, Jiang LI, Fasheng MIAO, Chao KE   +4 more
doaj   +2 more sources

Prediction of joint roughness coefficient via hybrid machine learning model combined with principal components analysis

Journal of Rock Mechanics and Geotechnical Engineering
Joint roughness coefficient (JRC) is the most commonly used parameter for quantifying surface roughness of rock discontinuities in practice. The system composed of multiple roughness statistical parameters to measure JRC is a nonlinear system with a lot ...
Shijie Xie, Hang Lin, Tianxing Ma, Kang Peng, Zhen Sun   +4 more
doaj   +3 more sources

A Novel Discontinuity Roughness Parameter and Its Correlation with Joint Roughness Coefficients [PDF]

Energies, 2021
Joint roughness determination is a fundamental issue in many areas of rock engineering, because joint roughness has significant influences on mechanical properties and deformation behavior of rock masses. Available models suggested in the literature neglected combined effects of shear direction, scale of rock discontinuities, inclination angle, and ...
Huizhen Zhang, Changsuo Zhang, Zejin Yang, Zhiqiang Li, Chenlong Wang   +4 more
openaire   +2 more sources

Shear behaviours and roughness degeneration based on a quantified rock joint surface description

International Journal of Mining Science and Technology, 2023
The asperity wear of rock joints significantly affects their shear behaviour. This study discusses the wear damage of the asperities on the joint surface, highlighting the roughness degradation characteristics during the shear process.
Shubo Zhang, Gang Wang, Yujing Jiang, Changsheng Wang, Feng Xu   +4 more
doaj   +1 more source