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张兵, 崔希民, 胡青峰. 开采沉陷动态预计的正态分布时间函数模型研究[J]. 煤炭科学技术, 2016, (4).
引用本文: 张兵, 崔希民, 胡青峰. 开采沉陷动态预计的正态分布时间函数模型研究[J]. 煤炭科学技术, 2016, (4).
Zhang Bing Cui Ximin Hu Qingfeng, . Study on normal distributed time function model to dynamically predict mining subsidence[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (4).
Citation: Zhang Bing Cui Ximin Hu Qingfeng, . Study on normal distributed time function model to dynamically predict mining subsidence[J]. COAL SCIENCE AND TECHNOLOGY, 2016, (4).

开采沉陷动态预计的正态分布时间函数模型研究

Study on normal distributed time function model to dynamically predict mining subsidence

  • 摘要: 使用常用的Knothe时间函数进行煤炭开采所引起的地表动态下沉预计时,其反映的地表下沉速度和下沉加速度与地表实际下沉规律不相符,基于此,可引入一种新的时间函数—正态分布时间函数,对该时间函数值的变化范围和变化规律进行了详细对比,给出了正态分布时间函数用于地表动态预计时参数的确定方法,并利用该时间函数对某矿区地表下沉实测数据进行了对比预测。研究表明:正态分布时间函数的下沉速度和下沉加速度与地表动态下沉规律是相吻合的;当进行不同精度的动态预计时,合理选择函数的形态参数非常重要;在某些矿区,利用正态分布时间函数进行动态预计比使用双参数Knothe时间函数进行预计更符合地表移动的变化规律,预计结果也更为可靠。

     

    Abstract: When a conventional Knthe Tine Function was applied to predit the surace ground dynanic subsiden e caused by the coal ming the surace grnundsubsidence speed and subsidence acceleration refecied were not fited with the actual subsidence aw ofth surface ground.Based on the crcumstance,the paper introduced a new time functon- normal distributed tie function.A detal comparison analysis was conduced on the varation scope and variation law ofth time fucion aue.The normal istributed time functon was provided to the method to determine the surace ground dynamic predictedtime parameers.The time function could be applied to the comparson prediction on the real measured data ofthe suraceground subsidence in a mining area.The stucy showed that the subsidence speed and the subsidence acceleration of the normal distributed time function could be fited with th suface ground dynamic ubsidence law.When ferent accuracy dynamic predction was conducted,the morpholgical parameters of the rational selected function woud be very important. n a mining area.the nomal distibutedtie functioen appltd to the dynamic prediction would be closel fited to the variation lav of the surace ground movement than the prediction with the double parameters Konothe Time Function and the predicted results would be more reliable.

     

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