Abstract:Accurate evaluation and visual representation of rockburst are crucial for deep underground engineering. This study employs a multidimensional normal cloud model based on multiple indicator parameters to assess rockburst susceptibility, ensuring the reliability of the evaluation results to the greatest extent possible. Furthermore, utilizing 3DMine software in conjunction with the actual engineering conditions of the mine, we have constructed a three-dimensional model for evaluating the rockburst susceptibility of deep rock masses. This model achieves a visual display of the spatial distribution characteristics of the rockburst evaluation results and their correlation with actual underground engineering conditions. Additionally, it allows for arbitrary cross-section extraction as needed, providing a more precise and intuitive understanding of rockburst conditions at various layers and depths. This provides a fundamental basis for rockburst disaster prevention and control in the process of deep mining.

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