Shear Mechanism Differentiation Investigation of Rock Joints with Varying Lithologies Using 3D-Printed Barton Profiles and Numerical Modeling

To investigate the shear behavior of rock mass joint surfaces with varying roughness and lithology, this study introduces a novel experimental framework that combines high-precision 3D printing and direct shear testing. Ten artificial joint surfaces were fabricated using Barton standard profiles with different joint roughness coefficients (JRC) and were cast using two representative rock-like materials simulating soft and hard rocks. The 3D printing technique employed significantly reduced the staircase effect and ensured high geometric fidelity of the joint morphology. Shear tests revealed that peak shear strength increases with JRC, but the underlying failure mechanisms vary depending on the lithology. Experimental results were further used to back-calculate JRC values and validate the empirical JRC–JCS (joint wall compressive strength) model. Numerical simulations using FLAC3D captured the shear stress–displacement evolution for different lithologies, revealing that rock strength primarily influences peak shear strength and fluctuation characteristics during failure. Notably, despite distinct lithologies, the post-peak degradation behavior tends to converge, suggesting universal residual shear mechanisms across rock types. These findings highlight the critical role of lithology in joint shear behavior and demonstrate the effectiveness of 3D-printing-assisted model tests in advancing rock joint characterization.

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Publication Details

Journal
Geotechnics
Published
2026-01-15
DOI
https://doi.org/10.3390/geotechnics6010008
Primary Topic
Rock Mechanics and Modeling
Type
article
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article

Shear Mechanism Differentiation Investigation of Rock Joints with Varying Lithologies Using 3D-Printed Barton Profiles and Numerical Modeling

Guoshun Lv, Yinsheng Wang, Le Liu, Quan Dai et al.
Geotechnics
Rock Mechanics and Modeling
article

Shear Mechanism Differentiation Investigation of Rock Joints with Varying Lithologies Using 3D-Printed Barton Profiles and Numerical Modeling

Guoshun Lv, Yinsheng Wang, Le Liu, Quan Dai, Yue Chen, Lianheng Zhao, Yongqiang Li
article en

Abstract

To investigate the shear behavior of rock mass joint surfaces with varying roughness and lithology, this study introduces a novel experimental framework that combines high-precision 3D printing and direct shear testing. Ten artificial joint surfaces were fabricated using Barton standard profiles with different joint roughness coefficients (JRC) and were cast using two representative rock-like materials simulating soft and hard rocks. The 3D printing technique employed significantly reduced the staircase effect and ensured high geometric fidelity of the joint morphology. Shear tests revealed that peak shear strength increases with JRC, but the underlying failure mechanisms vary depending on the lithology. Experimental results were further used to back-calculate JRC values and validate the empirical JRC–JCS (joint wall compressive strength) model. Numerical simulations using FLAC3D captured the shear stress–displacement evolution for different lithologies, revealing that rock strength primarily influences peak shear strength and fluctuation characteristics during failure. Notably, despite distinct lithologies, the post-peak degradation behavior tends to converge, suggesting universal residual shear mechanisms across rock types. These findings highlight the critical role of lithology in joint shear behavior and demonstrate the effectiveness of 3D-printing-assisted model tests in advancing rock joint characterization.

GeotechnicsVol. 6(1)
Central South University (CN), Taizhou Second People's Hospital (CN), China Railway Group (China) (CN), China Academy of Railway Sciences (CN), Northwest Research Institute of Chemical Industry (CN)
Openalex Percentile: Top 87%
Rock Mechanics and Modeling
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Shear Mechanism Differentiation Investigation of Rock Joints with Varying Lithologies Using 3D-Printed Barton Profiles and Numerical Modeling — Guoshun Lv, Yinsheng Wang, et al. · Geotechnics (2026) | TGRS Research Map | TGRS