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Volume 45 Issue 5
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ZHANG Liangliang, CHENG Hua, YAO Zhishu, WANG Xiaojian. Improved Knothe surface dynamic subsidence prediction model and its parameter analysis[J]. Chinese Journal of Geotechnical Engineering, 2023, 45(5): 1036-1044. DOI: 10.11779/CJGE20220295
Citation: ZHANG Liangliang, CHENG Hua, YAO Zhishu, WANG Xiaojian. Improved Knothe surface dynamic subsidence prediction model and its parameter analysis[J]. Chinese Journal of Geotechnical Engineering, 2023, 45(5): 1036-1044. DOI: 10.11779/CJGE20220295
shu

Improved Knothe surface dynamic subsidence prediction model and its parameter analysis

  • 1.

    School of Civil Engineering and Architecture, Anhui University of Science and Technology, Huainan 232001, China

  • 2.

    School of Resources and Environmental Engineering, Anhui University, Hefei 230022, China

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  • Received Date: March 17, 2022
  • Available Online: May 18, 2023
    Graphical Abstract
    • Abstract
  • In view of the shortcomings of the traditional Knothe time model in describing the process of surface dynamic subsidence, based on the Knothe time model, considering the nonlinear mechanical characteristics of the overlying strata, an improved Knothe time model is established. The theoretical analysis shows that the improved time model conforms to the variation laws of surface single point subsidence, subsidence velocity and subsidence acceleration. Based on the field measured data and the two-medium method, the expression for parameters of the improved Knothe time model is given. Based on the surface subsidence monitoring data of 4326 working face of Xinglongzhuang Coal Mine, 35101 working face of Sandaogou Coal Mine and 8403 fully mechanized working face of Yangquan No. 2 Coal Mine, the accuracies of the traditional Knothe time model and the improved Knothe time model are compared and analyzed. The results show that the improved time model can more truly reflect the dynamic change process of the surface with the mining time. The average relative standard deviation between the predicted and measured values is only 3.22%, which is far lower than 15.72% of the Knothe time model, which verifies the accuracy and reliability of the improved time model. The process of surface dynamic subsidence is affected by the mining speed v of coal seam, the thickness Hs of loose layer, the thickness Hj of bedrock layer and the full mining angle of loose layer φi and the full mining angle of bedrock φj, and the impact sensitivity is in the order of Hj, v, Hs, φj and φi. The results may provide some reference for the prediction of surface subsidence in coal seam mining.
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    • References (20)
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