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《Chinese Journal of Underground Space and Engineering》 2012-04
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Deep Soft Rock Roadway Model Experiment and Numerical Optimization of Support in High Geo-Stress Area

Wang Zhongfu1,2,Liu Handong1,2,Wang Siwei1,2,Jiang Tong1,2,Huang Zhiquan1,2(1.Institute of Geotechnical and Hydraulic Engineering,North China University of Water Resources and Electric Power,Zhengzhou 450045,China;2.Henan Key Laboratory of Geomechnics and Structural Engineering,Zhengzhou 450045,China)  
Gross distortion and instability and failure of deep roadway is a universal problem in high geo-stress area,the effective reinforcement is a key factor to ensure the stability of the deep roadway.To take an deep roadway in a coal mine in Huainan Area as engineering background,a similar experiment such as YDM-D multifunction geomechanical modeling of underground structure test system to study the character of deformation of surrounding rock of roadway which are unsupported or reinforced by anchor bolt support.The results show that the mixing proportion of the sample from clay,concrete,sand and water is 4 ∶1 ∶20:1.3 and the material has plastic deformation character.Maximum displacement of cavity wall reduced after reinforcement by anchor bolt support on similar material mould,and decreased from 15.4 mm to 12.1 mm.If reinforcement effect does not apparent,it indicates that the space between anchor bolts is too large.At the same time the experiment result is verified by numerical solution.An optimum analysis for combined bolting and shotcrete project of the deep roadway of Wang Feng Gang coal mine is carried out by homogeneous design combined with numerical solution analysis method.Result shows that: row spacing of roof bolt length of the crown of arch are 2.4 m,0.8 m and 0.8 m respectively,row spacing of roof bolt length of the edge are 3.7 m,0.8 m and 0.8 m respectively,angle of inclination of roof bolt on bottom plate is 45°,row spacing of roof bolt length are 2.9 m,0.9 m and 0.8 m respectively,when jetting thickness is 120 mm,reinforcing effect of the reinforcement is optimal.
【Fund】: 华北水利水电学院青年科研基金(HSQJ2009026);; 河南省创新人才基金项目(HNCXRC200108)
【CateGory Index】: TD353
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