摘要
为得到脉冲水射流割缝后石门揭煤最佳突出预测指标,根据脉冲水射流割缝作用下煤体裂隙场的动态演化过程,分析了煤样坚固性系数测值和煤体瓦斯放散初速度对综合指标D、K的影响,由此排除综合指标D、K。利用灰关联分析法,对现场采集的重庆、四川、河南地区7个煤矿应用脉冲水射流割缝后石门揭煤突出预测指标K1、S、P建立灰关联分析模型,计算各突出预测指标与突出危险程度的关联度。结果表明:钻屑瓦斯解吸指标K1能够更准确地反映脉冲水射流割缝后石门揭煤煤与瓦斯突出危险程度,应作为最佳预测指标。
To obtain the best outburst prediction index of rock cross-cut coal uncovering slotted by pulsed water jet,the effects of the rigidity coefficient's measured value and the initial velocity of gas diffusion to the integrative indexes D and K are analyzed based on the dynamic evolution of coal crake field under water jet.Thus the integrative indexes D and K are excluded.A grey relation model of outburst prediction indexes(K1,S and P)from 7 coal mine' rock cross-cut coal uncovering in Chongqing,Sichuan and Henan is set up.And the grey relation degrees of the 3 prediction indexes to outburst hazard are calculated by using grey relational analysis method.The results show that the outburst hazard can be more accurately reflected by the cuttings desorption index K1 when a cross-cut coal uncovering slotted by pulsed water jet,and it should be considered as the best outburst prediction index.
出处
《重庆大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2013年第6期65-69,共5页
Journal of Chongqing University
基金
国家科技重大专项(2011ZX05065)
关键词
脉冲水射流
割缝
石门揭煤
突出
预测指标
灰关联分析
pulsed water jet
slotting
cross-cut
outburst
prediction index
grey relational analysis