Analysis of key geological structures and rockburst prediction method
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a novel method for predicting rockburst disasters by analyzing key geological structures. The approach combines numerical simulations and neural networks for rapid, dictionary-style risk assessment in underground engineering.
Area Of Science
- Geotechnical Engineering
- Mining Engineering
- Computational Mechanics
Background
- Rockburst disasters are intrinsically linked to specific geological structures, necessitating a focus on the 'geological carrier' for accurate prediction.
- Existing methods often overlook the nuanced influence of geological structures on rockburst potential.
- Understanding geomechanical modes and structural effects is crucial for mitigating rockburst risks.
Purpose Of The Study
- To develop a novel prediction method for rockbursts that explicitly incorporates the influence of key geological structures.
- To establish a reliable evaluation index for rockburst energy release and parameter sensitivity.
- To create a rapid, dictionary-style prediction tool for rockbursts in underground engineering.
Main Methods
- Numerical simulations were employed to establish an evaluation index for relative energy release and analyze parameter sensitivity.
- A surrogate model was developed using GA-BP neural network and Latin hypercube sampling to link structural parameters with rockburst effects.
- The Monte Carlo method and rockburst intensity classification were used to identify dangerous samples and interpret confidence intervals for key parameters.
Main Results
- An evaluation index for rockburst energy release was established, enabling sensitivity analysis of key structural parameters.
- A GA-BP neural network surrogate model accurately represented the relationship between structural parameters and rockburst effects.
- Confidence intervals for key structural parameters were determined, leading to a predictive method for identifying hazardous geological structures.
Conclusions
- The proposed method offers a novel pathway for precise rockburst disaster prediction by comprehensively considering geological structure impacts.
- This innovative approach facilitates rapid, dictionary-style rockburst prediction in underground engineering.
- The study provides a valuable tool for enhancing safety and mitigating risks in mining and underground construction.
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