| 极不充分开采地表移动和变形预计的概率密度函数法 |
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| 引用本文： | 郭增长,谢和平,王金庄. 极不充分开采地表移动和变形预计的概率密度函数法[J]. 煤炭学报, 2004, 29(2): 155-158 |
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| 作者姓名： | 郭增长 谢和平 王金庄 |
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| 作者单位： | 焦作工学院,测量工程系,河南,焦作,454100;中国矿业大学(北京),北京,100083;四川大学,四川,成都,610065;中国矿业大学(北京),北京,100083;中国矿业大学(北京),北京,100083 |
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| 摘 要： | 通过理论分析和计算机模拟,在极不充分开采条件下,离散介质中碎块体的移动概率逐渐趋近于正态分布的概率密度函数.提出了采用概率密度函数法对极不充分开采条件下地表移动和变形预计的方法,预计结果与实测资料进行了对比,在预计参数选取比较准确的情况下,预计的相对中误差可以控制在±10%以内.解决了概率积分法预计极不充分开采地表移动和变形误差偏大的问题.
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| 关 键 词： | 极不充分开采 开采沉陷 概率密度函数法 |
| 文章编号： | 0253-9993(2004)02-0155-04 |
| 修稿时间： | 2003-05-15 |
Applying probability distribution density function to predict the surface subsidence caused by subcritical extraction |
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| GUO Zeng-zhang. Applying probability distribution density function to predict the surface subsidence caused by subcritical extraction[J]. Journal of China Coal Society, 2004, 29(2): 155-158 |
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| Authors: | GUO Zeng-zhang |
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| Affiliation: | GUO Zeng-zhang~ |
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| Abstract: | It was found that the moving probability of the shiver in the discrete medium caused by super-subcritical extraction approach to probability density function of normal distribution through theory analysis and computer simulation.The probability distribution density function method was presented to predict the surface movement and deformation caused by super-subcritical extraction.The prediction data were compared with the actual observation data,it was concluded that the prediction relative error is less than 10%, if the prediction parameters were exactly selected.It was resolved that the problem using probability integration method to predict the surface subsidence caused by super-subcritical extraction is greater than the actual surface subsidence. |
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| Keywords: | super-subcritical extraction mining subsidence probability distribution density function method |
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