ORIGINAL RESEARCH article
Front. Mater.
Sec. Structural Materials
Volume 12 - 2025 | doi: 10.3389/fmats.2025.1662066
This article is part of the Research TopicSustainable and Green Materials in Geotechnical EngineeringView all 10 articles
A New Criterion for Peak Shear Strength of Rock Joints Based on Shear-Direction-Related Morphology Description
Provisionally accepted- 1University of Science and Technology Beijing, Beijing, China
- 2Beijing Municipal Engineering Research Institute, Beijing, China
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Accurate characterization of joint roughness relative to shear direction is crucial for predicting the peak shear strength (τₚ) of rough rock joints. This study proposes a modified peak shear strength criterion based on shear-direction-dependent morphological parameters. Artificial fractal joints and natural sandstone tension joints with varying roughness were replicated using 3D printing and cast in cement-based materials. Direct shear tests under constant normal load (CNL) conditions were conducted to quantify the mechanical behaviors of rough joints. Joint morphology was characterized using statistical values (mean μ, standard deviation σ) of the apparent dip angle (θ*) distribution along the shear direction. A parameter E(θ*|θ*>0°)-μ, representing the conditional expectation of positive apparent dip angles relative to the shear direction, was proposed to effectively capture shear-direction-dependent roughness. A new τₚ criterion incorporating this parameter was established within a Mohr-Coulomb framework. Validation against experimental data and published studies demonstrates its improved accuracy, particularly for low-roughness joints, compared to existing criteria. This approach provides a physically meaningful and efficient method for estimating τₚ, enhancing stability assessments in rock mass engineering.
Keywords: Joint roughness, Shear direction dependency, Apparent dip angle, Statistical probability distribution, Peak shear strength
Received: 08 Jul 2025; Accepted: 30 Jul 2025.
Copyright: © 2025 Song, Ji and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Yu Song, University of Science and Technology Beijing, Beijing, China
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