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A nonlinear creep model of hard structural planes.
Aneng Cui1,2,3, Yongxin Dai1,4, Chao Jia2
1Sinosteel Maanshan General Institute of Mining Research CO.,Ltd., Maanshan, China.
This study introduces an improved element combination model to accurately describe the creep characteristics of hard structural planes in rock slopes. The new model enhances predictions for slope stability analysis, especially in varying stress conditions.
Area of Science:
- Geotechnical Engineering
- Rock Mechanics
- Civil Engineering
Background:
- Creep characteristics of hard structural planes are critical for rock slope stability.
- Traditional models exhibit limitations in adaptability and parameter interpretability for hard structural planes.
Purpose of the Study:
- To develop a novel, piecewise nonlinear constitutive model for hard structural planes.
- To improve the accuracy and physical meaning of parameters in creep behavior modeling.
- To provide a theoretical basis for enhanced rock slope stability analysis.
Main Methods:
- An element combination model was adapted and improved based on creep failure mechanisms.
- New parameters were introduced for instantaneous deformation (plastic deformation proportional coefficient n), attenuation creep (hardening coefficient C, creep index m), and viscoelastic-plastic failure (weakening factor k).
- The constitutive relationship was established, and the creep equation was derived through integration.
Main Results:
- A new piecewise nonlinear constitutive model for hard structural planes was successfully established.
- Model validation using creep test data from sandstone and marble structural planes yielded fitting results exceeding 0.95.
- The improved model demonstrated higher accuracy in nonlinear characteristics during attenuation and acceleration creep stages.
Conclusions:
- The developed piecewise model accurately captures the complex creep behavior of hard structural planes.
- The model offers clearer physical interpretations of parameters and improved adaptability compared to traditional methods.
- This research provides a robust theoretical foundation for more reliable rock slope stability assessments.
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