Statistical Analysis for Frictional Resistance Coefficient of Lining Roadway in Mine

被引:0
|
作者
Jia Baoshan [1 ]
Pi Zikun [1 ]
Jia Tinggui [1 ,2 ]
Yin Bin [1 ]
机构
[1] Minist Educ, Key Lab Thermal Dynam Disaster & Control Mine, Fuxin 123000, Peoples R China
[2] Dalian Univ Technol, Fac Infrastruct Engn, Dalian 116024, Peoples R China
关键词
lining roadway; frictional resistance coefficient; SPSS software; Bootstrap resampling method;
D O I
暂无
中图分类号
TD [矿业工程];
学科分类号
0819 ;
摘要
In order to accurately obtain the frictional resistance coefficient of lining roadway (without installing belt), 272 groups of measured data selected from 13 coal mine are statistically analyzed by applying SPSS software and Bootstrap resampling method. At the same time, the data are analyzed by using the cluster method and box line diagram of outliers, tested by using the Kolmogorov - Smirnova and Shapiro - Wilk. The results show that the frictional resistance coefficient resulting from measured data don't follow normal distribution when the extreme value and outliers are rejected from the measured data. By applying the Bootstrap resampling method, the data are statistically computed, and the value range of frictional resistance coefficient is from 0. 0046 to 0. 0064N. s(2)/m(4). Applying the statistical results of frictional resistance coefficient to the Lvjiaotuo Coal Mine, the correlation of hectometer frictional resistance between practical measurement and statistical computation is highly significant. Therefore, the correctness of statistical data is verified. It greatly increases the accuracy and reliability in calculating the frictional resistance coefficient of lining roadway, and it has important guiding significance for the ventilation safety management of mine.
引用
收藏
页码:238 / 242
页数:5
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