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Data-driven machine learning approaches for predicting the shear strength of rock joints

Zhang Jinge Jiang Yujing Zhang Sunhao Shang Dongqi Sun Zhenjiao Chen Hongbin

岩石力学通报（英文）2025，Vol.4Issue(3)：76-91,16.
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岩石力学通报（英文）2025，Vol.4Issue(3)：76-91,16.DOI:10.1016/j.rockmb.2025.100209

Data-driven machine learning approaches for predicting the shear strength of rock joints

Data-driven machine learning approaches for predicting the shear strength of rock joints

Zhang Jinge 1Jiang Yujing 1Zhang Sunhao 1Shang Dongqi 1Sun Zhenjiao 2Chen Hongbin1

作者信息

  • 1. Department of Integrated Science and Technology,Nagasaki University,Nagasaki 852-8521,Japan
  • 2. College of Safety and Environmental Engineering,Shandong University of Science and Technology,Qingdao 266590,China
  • 折叠

摘要

关键词

Rock joint/Shear strength/Machine learning/Joint roughness coefficient

Key words

Rock joint/Shear strength/Machine learning/Joint roughness coefficient

引用本文复制引用

Zhang Jinge,Jiang Yujing,Zhang Sunhao,Shang Dongqi,Sun Zhenjiao,Chen Hongbin..Data-driven machine learning approaches for predicting the shear strength of rock joints[J].岩石力学通报（英文）,2025,4(3):76-91,16.

基金项目

This work was supported by the Nagasaki University Global Human Resource Development Scholarship and the JST SPRING,Japan Grant Number JPMJSP2172. （）

岩石力学通报（英文）

2773-2304

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