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Updated: Jun 4, 2026

Stress Distribution During Cold Compression of Rocks and Mineral Aggregates Using Synchrotron-based X-Ray Diffraction
Published on: May 20, 2018
A discrete element model for rock pressure sensitivity and stress-driven contact stiffness evolution
Cong Wang1, Yong Zhao2, Yongquan Zhu3
1School of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, 050043, Hebei, China.
A new variable stiffness model accurately predicts rock behavior under high stress. This advanced discrete element model captures tangent modulus evolution, improving simulations for deep underground engineering projects.
Area of Science:
- Geotechnical Engineering
- Rock Mechanics
- Computational Modeling
Background:
- Deep underground engineering expansion necessitates understanding rock mechanical behavior under high in-situ stress.
- Traditional discrete element models struggle with tangent modulus evolution and over-linearize compaction stages.
Purpose of the Study:
- To develop a robust discrete element model capable of accurately simulating rock mechanical behavior under varying confining pressures.
- To address limitations in traditional models regarding stiffness assumptions and tangent modulus evolution.
Main Methods:
- Integrated triaxial test data (granite, slate, sandstone) to establish an exponential relationship between tangent modulus and mean stress.
- Developed a variable stiffness parallel bond model with real-time stiffness mapping and adaptive updating.
- Implemented a multi-confining-pressure calibration strategy using parameter selection and interpolation verification.
Main Results:
- The variable stiffness model accurately reproduced full stress-strain curves for carbonaceous slate across a wide confining pressure range.
- Achieved small relative errors in peak strength prediction.
- Successfully captured pressure-sensitive responses like compaction stage shortening, peak strength enhancement, and brittle-ductile transition.
Conclusions:
- The proposed variable stiffness parallel bond model offers a high-fidelity numerical tool for predicting rock behavior in deep environments.
- The model overcomes limitations of traditional discrete element methods in simulating complex rock deformation under high stress.
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