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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
煤矿开采沉陷预计理论与方法研究评述
  • Title

    Research review of predicting theory and method for coal mining subsidence

  • 作者

    崔希民邓喀中

  • Author

    Cui Ximin Deng Kazhong

  • 单位

    中国矿业大学(北京)地球科学与测绘工程学院中国矿业大学环境与测绘学院

  • Organization
    Institute of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing) School of
    Environmental and Spatial Information,China University of Mining & Technology
  • 摘要

    大量的国内外研究表明,开采沉陷预计不仅是评价采动损害程度、选择采动损害控制措施的基础,也是开采设计优化、土地复垦和地基稳定性评价的前提条件之一。从预计方法的表达形式、理论基础、时间过程和特殊条件影响等4个方面分析了开采沉陷预计理论与方法的类型及适用条件;讨论了开采沉陷的主要影响因素、预计参数的确定和预计误差,强调了预计误差和拟合误差的区别。从现有预计方法存在的不足、时空力学模型、复杂地质体的节理界面效应、急倾斜煤层开采、深部开采、数值模拟、地面监测数据实时获取、预计结果的可靠性与不确定评价等方面,提出了开采沉陷预计存在的问题和今后的研究方向。

  • Abstract
    A large number of studies all over the world show that the prediction of mining subsidence is not only the basis for evaluation of mining damage and the selection of precautions for mining damage control,but also the prerequisite for the optimization of mining design,land reclamation and foundation stability evaluation.Th e types of predicting theory and method are analyzed and the suitable conditions are achieved based on the expressions of predicting method,theoretical foundations,ti me factor and special geo-mining conditions.The impact factors of mining subsidence ,the determination of predicting parameters and predicting errors are discussed sy stematically.The distinctions between the predicting error and fitting error are pointed out and emphasized.The existing problems of mining subsidence prediction such as the disadvantages of existing method,temporal spatial mechanical model,joint and interface effects of geologic body,steep seam mining,deep mining,numerical simul ation,surface monitoring data acquisition,the evaluation of relibility and uncertainty for subsidence prediction are proposed.These problems would be interested to the researchers and engineers and be solved hopefully in future.
  • 关键词

    开采沉陷预计方法影响因素预计误差

  • KeyWords

    mining subsidence; predicting method; impact factor; predicting error;

  • 基金项目(Foundation)
    国家自然科学基金资助项目(51474217);
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