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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

Rock Mechanics Bulletin2025，Vol.4Issue(3)：P.76-91,16.

Rock Mechanics Bulletin2025，Vol.4Issue(3)：P.76-91,16.DOI:10.1016/j.rockmb.2025.100209

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

分类

建筑与水利

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].Rock Mechanics Bulletin,2025,4(3):P.76-91,16.

基金项目

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

Rock Mechanics Bulletin

ISSN：2773-2304

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