Prediction of mining-induced surface movement duration based on an improved Knothe time model

被引：0
|
作者：
Zhang L. [1 ]
Cheng H. [1 ,2 ]
Yao Z. [1 ]
Wang X. [1 ]
机构：
[1] School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan
[2] School of Resources and Environmental Engineering, Anhui University, Hefei
来源：
Meitan Xuebao/Journal of the China Coal Society | 2023年 / 48卷 / 11期
关键词：
dynamic subsidence; Knothe time model; mining speed; prediction; surface movement duration;
D O I：
10.13225/j.cnki.jccs.2023.0132
中图分类号：
学科分类号：
摘要：
The surface movement duration is a key parameter for the evaluation of the stability of surface movement and deformation, and accurately predicting the surface movement duration under different geological conditions and mining intensity is crucial for the stability assessment of the surface and ground facilities. Firstly, a new model assumption is proposed based on the classical Knothe time model assumption, and an improved Knothe time model, which only contains one model parameter and can accurately describe the dynamic subsidence law of the surface, has been developed. Then, based on the improved Knothe time model, a surface movement duration prediction model that can comprehensively consider the mining depth, coal seam thickness and mining speed of the working face is established, and the determination method of model parameters is provided according to the probability integral method. Finally, the accuracy and rationality of the surface movement duration prediction model were verified by using monitoring data of the surface movement duration in 20 mining areas. The results showed that the predicted value of the surface movement duration prediction model based on the improved Knothe time model is highly consistent with the monitoring values in 20 mining areas, and their root mean square error (ERMS) is only 64 days, which is far less than 882 days of the Specifications of Coal Mining and Pillar Retention Under Buildings, Water and Railways and 152 days of the Knothe time model, which verifies the accuracy and rationality of the prediction model of surface movement duration. The surface movement duration is affected by coal seam mining height, average mining depth and coal seam mining speed, and increases nonlinearly with the increase of coal seam mining height, increases linearly with the increase of average mining depth, but decreases nonlinearly with the increase of coal seam mining speed; When the mining speed of coal seam is less than 5 m/d, the surface movement duration can be shortened by appropriately increasing the mining speed of coal seam. The study can provide some reference for the prediction of the stable time of surface movement and deformation in coal mining. © 2023 China Coal Society. All rights reserved.
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页码：4001 / 4010
页数：9
相关论文
共 23 条
  • [1] LOUPASAKIS C, ANGELITSA V, ROZOS D, Et al., Mining geohazards-land subsidence caused by the dewatering of opencast coal mines：the case study of the Amyntaio coal mine, Florida, Greece[J], Natural Hazards, 70, 1, (2014)
  • [2] BOOTH C J., Groundwater as an environmental constraint of long-wall coal mining[J], Environmental Geology, 49, 6, (2006)
  • [3] DUN Zhilin, WANG Wenchang, ZOU Youfeng, Et al., Dynamic prediction of goaf surface subsidence and calculation of residual deformation based on time function combination model[J], Journal of China Coal Society, 47, S1, (2022)
  • [4] (2017)
  • [5] (2012)
  • [6] ZHENG Zhigang, TENG Yonghai, Ground surface rock strata movement parameters of thick loose strata with fully mechanized top coal caving[J], Coal Mining Technology, 21, 2, (2016)
  • [7] AN Shikai, LI Yuhao, WANG Xiaopeng, Et al., Study on prediction method of surface movement duration in thick alluvial mining area[J], Coal Science and Technology, 50, 8, pp. 24-31, (2022)
  • [8] PENG S S., Surface subsidence engineering[M], pp. 89-91, (1992)
  • [9] LI Chunyi, GAO Yongge, CUI Ximin, Et al., Spatiotemporal evolution of surface subsidence induced by fully mechanized thick coal underground mining in Yunjialing colliery[J], Journal of Mining & Safety Engineering, 36, 1, pp. 37-43, (2019)
  • [10] HU Qingfeng, CUI Ximin, KANG Xinliang, Et al., Impact of parameter on Knothe time function and its calculation model[J], Journal of Mining & Safety Engineering, 31, 1, (2014)
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