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

Accurate prediction of the shear strength of rock joints is crucial for assessing the stability of civil and mining engineering projects. Traditional methods for determining the shear strength of rock joints are time-consuming, costly, and computationally complex. Machine learning methods, which are...

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Bibliographic Details

Published in:	Rock Mechanics Bulletin
Main Authors:	Zhang Jinge, Jiang Yujing, Zhang Sunhao, Shang Dongqi, Sun Zhenjiao, Chen Hongbin
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2025-07-01
Subjects:	Rock joint Shear strength Machine learning Joint roughness coefficient
Online Access:	http://www.sciencedirect.com/science/article/pii/S2773230425000368