›› 2017, Vol. 38 ›› Issue (2): 541-548.doi: 10.16285/j.rsm.2017.02.030

• 岩土工程研究 • 上一篇    下一篇

开采沉陷动态预计的分段Knothe 时间函数模型优化

张 兵1, 2,崔希民1, 3   

  1. 1. 中国矿业大学(北京) 地球科学与测绘工程学院,北京 100083;2. 石家庄学院 资源与环境科学学院,河北 石家庄 050035; 3. 中国矿业大学(北京) 煤炭资源与安全开采国家重点实验室,北京 100083
  • 收稿日期:2016-06-22 出版日期:2017-02-11 发布日期:2018-06-05
  • 作者简介:张兵,男,1979年生,博士研究生,讲师,主要从事矿山开采沉陷预计与岩层控制等方面的教学和科研工作。
  • 基金资助:

    国家自然科学基金资助项目(No. 51474217)。

Optimization of segmented Knothe time function model for dynamic prediction of mining subsidence

ZHANG Bing1, 2, CUI Xi-min1, 3   

  1. 1. College of Geoscience and Surveying Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China; 2. School of Resources and Environmental Science, Shijiazhuang University, Shijiazhuang, Hebei 050035, China; 3. State Key Laboratory of Coal Resources and Safety Mining, China University of Mining and Technology (Beijing), Beijing 100083, China)
  • Received:2016-06-22 Online:2017-02-11 Published:2018-06-05
  • Supported by:

    This work was supported by the National Natural Science Foundation of China (51474217).

摘要: 针对分段Knothe时间函数在理论上存在的不足,为了扩展其应用范围,改善其在地表动态下沉预计时的精度,通过理论分析和对比研究,对该时间函数存在的理论缺陷进行了深入探讨,并针对存在的问题提出了相应的改进方法,进而构建了一种新的、适用范围更广、预测精度更高的分段Knothe时间函数模型。研究结果表明:该模型的构建解决了原时间函数在分段点处函数值与理论值不一致的问题以及原时间函数值最终不能收敛于1的问题;新的函数模型在应用上也摆脱了原模型对预计参数选取的某些特殊限制,扩展了利用该模型在不同地质采矿条件下进行动态预计的适用性。通过对实测数据的对比预测,证明采用该时间函数模型进行预测的精度比采用原时间函数进行预测的精度有所提高,并且地表下沉的终态预计值在达到最大下沉值后不会再随着下沉时间的增加而改变。

关键词: 开采沉陷, 动态预计, Knothe时间函数, 分段时间函数, 模型优化

Abstract: To overcome the theoretical deficiency of the segmented Knothe time function, and to enlarge its range of application and improve its prediction accuracy, this paper conducts further study of the existing problems of the segmented Knothe time function through theoretical analysis and comparative study. The corresponding improvement method is given. And a new segmented Knothe time function is established, which has a broader applicable scope and higher prediction precision in the practical engineering. The results show that the established model successfully solves the problem of the function value differs from the theoretical value in the place of subsection point, and the problem of the time function value cannot eventually converge to 1. The new model of time function does not rely on certain restrictions of the parameter selection. The applicability of the new time function to dynamic prediction for different geological and mining conditions is enhanced. Through the prediction comparison between the new segmented time function and the original time function, it is shown that the prediction accuracy is improved significantly while using the new time function. In addition, the final prediction value of surface subsidence will stabilize and no longer change with the extension of prediction time.

Key words: mining subsidence, dynamic prediction, Knothe time function, segmented time function, model optimizing

中图分类号: 

  • TD 325

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