A constitutive relationship for jointed rock mass considering the change of roughness and its application

The mechanical behaviors of rock joints plays a vital role in controlling the stability of layered rock slopes. Most existing constitutive models for jointed rock masses assume a constant initial roughness, ignoring its evolution during shearing and leading to inaccurate descriptions of shear deformation. To address this limitation, a new constitutive model for jointed rock masses is proposed, which explicitly considers the dynamic evolution of joint surface roughness based on the stress-displacement characteristics obtained from direct shear tests. The proposed model quantitatively links shear displacement with joint roughness degradation, providing a more accurate representation of shear stiffness evolution under loading. The proposed joint model was implemented into the numerical software and validated using laboratory shear test data under different normal stresses, showing close agreement in both peak and residual strength. Furthermore, slope stability simulations demonstrated that this model can realistically reproduce the progressive failure process and yield higher accuracy in predicting safety factors than the traditional Mohr-Coulomb joint model. The results confirm that incorporating roughness evolution enhances the reliability of numerical analysis for the deformation and failure of layered rock slopes.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-12-23
DOI
https://doi.org/10.1038/s41598-025-31449-5
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A constitutive relationship for jointed rock mass considering the change of roughness and its application

Xiaolin Li, Chao Yanɡ, Xinyi Chen, Ge Zhang
Scientific Reports
Rock Mechanics and Modeling
article

A constitutive relationship for jointed rock mass considering the change of roughness and its application

Xiaolin Li, Chao Yanɡ, Xinyi Chen, Ge Zhang
article en

Abstract

The mechanical behaviors of rock joints plays a vital role in controlling the stability of layered rock slopes. Most existing constitutive models for jointed rock masses assume a constant initial roughness, ignoring its evolution during shearing and leading to inaccurate descriptions of shear deformation. To address this limitation, a new constitutive model for jointed rock masses is proposed, which explicitly considers the dynamic evolution of joint surface roughness based on the stress-displacement characteristics obtained from direct shear tests. The proposed model quantitatively links shear displacement with joint roughness degradation, providing a more accurate representation of shear stiffness evolution under loading. The proposed joint model was implemented into the numerical software and validated using laboratory shear test data under different normal stresses, showing close agreement in both peak and residual strength. Furthermore, slope stability simulations demonstrated that this model can realistically reproduce the progressive failure process and yield higher accuracy in predicting safety factors than the traditional Mohr-Coulomb joint model. The results confirm that incorporating roughness evolution enhances the reliability of numerical analysis for the deformation and failure of layered rock slopes.

Scientific ReportsVol. 16(1)
China Three Gorges University (CN), Anhui Special Equipment Inspection Institute (CN), Anhui Business College (CN), Anhui Water Conservancy and Hydropower Survey and Design Institute (CN), Anhui and Huaihe River Institute of Hydraulic Research (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 43%
Rock Mechanics and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.