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<p>Mining cracks can readily result in rockburst events, and elucidating the process of rock mass fractures in mines is essential for effectively preventing rockbursts. The microseismic monitoring data in mines provide insights into the source mechanism, which helps elucidate the rock fracture types and fault characteristics. The theory of moment tensors presents challenges, including intricate calculation procedures, potential ambiguities in determining far-field displacements, and possible inaccuracies in computing sensor Green's functions. This paper presents an expedited moment tensor inversion based on the improved particle swarm optimization (PSO), revises the decomposition approach, and outlines a computational procedure for identifying rock fracture types. Following the demonstration of this method's superiority through theoretical data, we implemented it to analyze the mining process at the working face of Xiashijie coal mine in Tongchuan, China. We studied the distribution law of fracture types during the mining process of the rock mass and identified the spatial parameters of the failure surface at the working face, including the dip angle <i>δ</i>, the sliding angle <i>γ</i>, the strike <i>φ</i>, and the tension angle <i>α</i>. The 2305 working face is primarily distinguished by tension and tension-shear fracture types, whereas compression events predominantly arise from tension-type microseismic sources. The research identified two primary sets of rupture surfaces: the stretching seismic source crushed by mining and the low-energy stretching rupture source associated with the Wujiabian syncline. This method offers the benefits of swiftly resolving micro-seismic moment tensors and avoiding local extrema, achieved precise classification of surrounding rock fracture types. The research findings serve as a reference for examining the mechanisms of rock mass failure, instability, and triggered rockbursts in mining operations.</p>

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Research on the Application of Moment Tensor Inversion Method Based on the Improved PSO in the Mechanism of Rock Mass Fracture in Mines

  • 期刊论文

  • 发表日期：

    2026年6月2日

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  • Kaikai Wang,
  • Ke Ma,
  • Chun’an Tang,
  • Zhengzhao Liang

摘要

Mining cracks can readily result in rockburst events, and elucidating the process of rock mass fractures in mines is essential for effectively preventing rockbursts. The microseismic monitoring data in mines provide insights into the source mechanism, which helps elucidate the rock fracture types and fault characteristics. The theory of moment tensors presents challenges, including intricate calculation procedures, potential ambiguities in determining far-field displacements, and possible inaccuracies in computing sensor Green's functions. This paper presents an expedited moment tensor inversion based on the improved particle swarm optimization (PSO), revises the decomposition approach, and outlines a computational procedure for identifying rock fracture types. Following the demonstration of this method's superiority through theoretical data, we implemented it to analyze the mining process at the working face of Xiashijie coal mine in Tongchuan, China. We studied the distribution law of fracture types during the mining process of the rock mass and identified the spatial parameters of the failure surface at the working face, including the dip angle δ, the sliding angle γ, the strike φ, and the tension angle α. The 2305 working face is primarily distinguished by tension and tension-shear fracture types, whereas compression events predominantly arise from tension-type microseismic sources. The research identified two primary sets of rupture surfaces: the stretching seismic source crushed by mining and the low-energy stretching rupture source associated with the Wujiabian syncline. This method offers the benefits of swiftly resolving micro-seismic moment tensors and avoiding local extrema, achieved precise classification of surrounding rock fracture types. The research findings serve as a reference for examining the mechanisms of rock mass failure, instability, and triggered rockbursts in mining operations.