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Nonlinear Strength Reduction Method of Rock Mass in Slope Stability Evaluation
Yifan Chen1, Yizhou Chen1, Hang Lin1
1School of Resources and Safety Engineering, Central South University, Changsha 410083, China.
This study introduces a new nonlinear strength reduction method for evaluating rock slope stability. By combining the Hoek-Brown criterion with advanced algorithms, it offers a more accurate assessment of safety factors compared to traditional methods.
Area of Science:
- Geotechnical Engineering
- Rock Mechanics
- Slope Stability Analysis
Background:
- Traditional nonlinear strength reduction methods often rely on the Mohr-Coulomb criterion, which inadequately represents the nonlinear behavior of rock masses.
- Slope instability involves differential degradation of rock mass strength parameters, necessitating nuanced reduction approaches.
Purpose of the Study:
- To develop and validate a nonlinear strength reduction technique for rock slope stability assessment using the Hoek-Brown criterion.
- To address the limitations of existing methods in capturing the nonlinear performance of rock masses.
Main Methods:
- Derived relationships for critical slope parameters based on safety factor definitions.
- Determined the reduction ratio of uniaxial compressive strength (σ) to the Hoek-Brown constant (m) using the shortest path theory.
- Employed the k-means algorithm for automated identification of potential sliding surfaces.
- Calculated the slope safety factor as the ratio of sliding resistance to sliding force.
Main Results:
- Developed a critical curve relating the Hoek-Brown constant (m) and uniaxial compressive strength (σ).
- Established a method to determine the reduction ratio of σ to m based on parameter deterioration.
- The k-means algorithm effectively identified critical sliding surfaces for safety factor calculation.
Conclusions:
- The proposed Hoek-Brown criterion-based nonlinear reduction method provides a more objective and accurate evaluation of rock slope stability.
- Verification against published literature demonstrates superior efficacy compared to existing methods.
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