Three-dimensional Criterion for Predicting Peak Shear Strength of Matched Discontinuities with Different Joint Wall Strengths

Tang, Zhi Cheng; Zhang, Zhi Fei; Jiao, Yu‐Yong

doi:10.1007/s00603-021-02471-6

Cited by 23 publications

(1 citation statement)

References 58 publications

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“…In addition, some scholars have also incorporated new technologies such as three-dimensional (3D) scanning into the model development. (Grasselli, 2004;Asadollahi and Tonon, 2010;Xia et al, 2014;Zhang et al, 2016;Yang et al, 2016;Tian et al, 2018;Liu et al, 2018;Chen et al, 2021;Tang et al, 2014Tang et al, , 2021.With the development of machine learning and data mining technologies, these data-driven methods are widely used in geotechnical engineering, and become a novel approach to developing the empirical models (Zhou et al, 2020(Zhou et al, , 2021a(Zhou et al, , 2023aLi et al, 2023;Yang et al, 2023). To predict the shear properties of rock fractures, some of these methods have been attempted.…”

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confidence: 99%

Metaheuristic-hybridized MLS-SVR: a multi-output model for predicting continuous shear displacements of rock fractures

Zhou,

Wang,

et al. 2023

Preprint

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This study presents a metaheuristic-hybridized model based on sparrow search algorithm (SSA) and multi-output least-squares support vector regression machines (SSA-MLS-SVR) to predict the continuous shear displacements of rock fractures, which is closely related to the geo-structure stability and safety. To validate the reliability and potential of the proposed model, which was respectively developed by using two subsets of MDST database including 362 results of direct shear tests for rock fractures from laboratory and field. For the unsatisfactory generalization of preliminary model, three kinds of nonlinear transformations were utilized in data preprocessing to improve the data sensitivity of SSA-MLS-SVR. The performance of modified model indicated that the SSA-MLS-SVR can effectively grasp the correlation among each post-peak shear displacements in the continuous shear process of rock fractures. In addition, at the end of this paper, some interesting findings and conjectures about the potential connections among continuous shear displacements will be summarized. This study has a great significance of exploring the correlation among the continuous shear displacements of rock fractures, and the use of the proposed data processing method is valuable for further improving the model prediction performance.

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