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Numerical built-in method for the nonlinear JRC/JCS model in rock joint
Qunyi Liu1, Wanli Xing1, Ying Li1
1Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China.
This study introduces a numerical program for the nonlinear JRC/JCS joint model, improving rock mass strength analysis. The model accurately reflects joint characteristics, outperforming linear approaches in simulations and shear tests.
Area of Science:
- Geotechnical Engineering
- Rock Mechanics
- Computational Geology
Background:
- Rock mass strength is nonlinear due to ubiquitous joint surfaces, limiting linear model effectiveness.
- The Joint Roughness Coefficient/Joint Compressive Strength (JRC/JCS) model offers a superior nonlinear failure criterion for jointed rock masses.
Purpose of the Study:
- To develop a numerical program for the JRC/JCS model.
- To establish the relationship between JRC/JCS and Mohr-Coulomb model parameters.
- To analyze the influence of JRC/JCS parameters on joint shear strength.
Main Methods:
- Established parameter correlations between JRC/JCS and Mohr-Coulomb models.
- Developed and discussed the numerical implementation of the JRC/JCS model.
- Verified the numerical method's reliability using shear tests on jointed rock mass.
Main Results:
- Successfully developed a numerical program for the JRC/JCS model.
- Validated the numerical approach through experimental shear tests.
- Quantified the impact of JRC/JCS parameters on shear strength.
Conclusions:
- The JRC/JCS model provides a more accurate representation of jointed rock mass behavior than linear models.
- The developed numerical program is reliable for simulating JRC/JCS model behavior.
- Understanding JRC/JCS parameter effects is crucial for predicting rock mass shear strength.
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