Multivariate non-linear regression analysis on rock uniaxial compressive tests and prediction in coal-bearing strata
The uniaxial compressive strength (UCS) is mainly influenced by rock properties, physical environment, test conditions and experiment error, which cause UCS present randomness and fuzziness.Many of uniaxial compression experiments have been conducted for the rock from the No.11-2 coal seam roof in Huainan mining area and 88 data were obtained.Integration into statistical analysis and stepwise regression of the test data, regarding UCS as the dependent variable and ρ, E, ρ2, E2 and ρE as the independent variables, the multivariate nonlinear regression predictive model (MNRPM) has been established by the professional mathematical statistics software SPSS19.0.By significant test of model, the relationships of factors influenced UCS are obtained.Based on application of MNRPM to be used to predict the UCS of rock from the No.13 coal seam roof in Huainan mining area, comparative results show that the model is reliable and appropriate to predict the UCS of rock located in similar coal-bearing strata.
uniaxial compressive strength multivariate nonlinear regression predictive model mathematical statistics coal-bearing stratum
YANG Ke KONG Xiang-yong LIU Qian-he QI Lian-guan
Key Laboratory of Safety and High-efficiency Coal Mining ,Ministry of Education, Anhui University of Huaibei Mining Industry (Group) Co.Ltd., Huaibei 235000, China
国际会议
International Mining Conference 2014(2014国际采矿论坛)
安徽淮南
英文
80-85
2014-09-19（万方平台首次上网日期，不代表论文的发表时间）