<p>Efficiently and accurately predicting the deformation evolution trends are crucial for promoting green and safe production of mines. This paper focused on exploring the deformation evolution characteristics of an open-pit coal mine slope. Through field investigation, the displacement spatiotemporal evolution cloud map of the open-pit coal mine is obtained using inverse distance weighting (IDW) method, based on discrete surface displacement monitoring data. Simultaneously, the community detection technology can quickly identify the large deformation and closely related parts of the open-pit coal mine. The results show that the displacement deformation in the landslide area of the open-pit coal mine is greater than in other places based on radar monitoring. The front of landslide area has experienced creep owing to the combined effects of rainfall and groundwater seepage, and the maximum creep displacement reaches 33,454.63&#xa0;mm. The deformation evolution characteristics of the total displacement exhibit similarities to the horizontal displacement. The horizontal displacement deformation increases gradually, and transfers from the north side of mining area to the inner dump of the open-pit coal mine and the vertical displacement expands from the middle of the inner dump to the surrounding area. In the eighth month, the displacement deformation reaches the maximum value. According to the Louvain algorithm, high-deformation communities have a maximum displacement 21.63% higher than low-deformation ones and leader nodes’ displacement exceeds the average of ordinary nodes by over 20.91%.</p>

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Study on the deformation evolution characteristics of open-pit coal mine slope combined with community detection algorithm

  • Jiabing Zhang,
  • Manchao He,
  • Yuxing Liu,
  • Zhen Liu,
  • Zhigang Tao,
  • Wenjie Zhang

摘要

Efficiently and accurately predicting the deformation evolution trends are crucial for promoting green and safe production of mines. This paper focused on exploring the deformation evolution characteristics of an open-pit coal mine slope. Through field investigation, the displacement spatiotemporal evolution cloud map of the open-pit coal mine is obtained using inverse distance weighting (IDW) method, based on discrete surface displacement monitoring data. Simultaneously, the community detection technology can quickly identify the large deformation and closely related parts of the open-pit coal mine. The results show that the displacement deformation in the landslide area of the open-pit coal mine is greater than in other places based on radar monitoring. The front of landslide area has experienced creep owing to the combined effects of rainfall and groundwater seepage, and the maximum creep displacement reaches 33,454.63 mm. The deformation evolution characteristics of the total displacement exhibit similarities to the horizontal displacement. The horizontal displacement deformation increases gradually, and transfers from the north side of mining area to the inner dump of the open-pit coal mine and the vertical displacement expands from the middle of the inner dump to the surrounding area. In the eighth month, the displacement deformation reaches the maximum value. According to the Louvain algorithm, high-deformation communities have a maximum displacement 21.63% higher than low-deformation ones and leader nodes’ displacement exceeds the average of ordinary nodes by over 20.91%.