Dynamic optimization design of open-pit mine full-boundary slope considering uncertainty of rock mass strength
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a dynamic optimization method for open-pit mine slopes, incorporating rock mass strength uncertainty and decision-maker preferences. The new approach enhances slope stability and allows for flexible, differentiated design across the entire mine perimeter.
Area Of Science
- Geotechnical Engineering
- Mining Engineering
- Slope Stability Analysis
Background
- Open-pit mine slope stability is critical and traditionally relies on limited data, overlooking inherent uncertainties.
- Current methods struggle to dynamically integrate new sample information for perimeter slope design.
- This limits adaptive and differentiated slope angle adjustments.
Purpose Of The Study
- To propose a dynamic optimization method for open-pit mine slopes that accounts for rock mass strength uncertainty.
- To enable differentiated slope angle design across the entire perimeter, considering decision-maker preferences.
- To improve the flexibility and adaptability of slope design in response to new data and operational conditions.
Main Methods
- Developed a dynamic optimization approach for perimeter slope design.
- Incorporated rock mass strength uncertainty into slope stability evaluations.
- Designed slope angles zone-by-zone, integrating safety and economic preferences of decision-makers, with final adjustments delegated to on-site personnel.
Main Results
- The dynamic design method successfully integrates rock mass strength uncertainty and decision-maker preferences.
- A case study demonstrated an approximate 2.5° increase in overall slope angle compared to traditional methods.
- The method facilitates differential design for the entire surrounding slope, enhancing flexibility.
Conclusions
- The proposed dynamic optimization method offers a more adaptive and efficient approach to open-pit mine slope design.
- It effectively addresses uncertainties and preferences, leading to improved slope angles and safety.
- This method enhances decision-making flexibility and enables optimized, differentiated slope designs.
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