厚煤层采动影响巷道支护技术研究

针对9-3012区段回风平巷围岩变形破坏严重,影响工作面正常生产的情况,综合采用钻孔取芯、力学试验及现场监测的手段对巷道破坏原因进行分析,提出"锚索+钢带+菱形网+钢梁+钢筋梯+组合锚索"联合支护方案.现场监测表明巷道围岩控制效果良好.     

燃煤含硫量对高参数机组锅炉选型的影响

针对燃煤特性(主要是含硫量)对锅炉参数选择可能带来的影响,以美国B&W公司对各种钢材的年腐蚀量试验数据为依据,对高参数机组所能适用的燃煤含硫量进行了分析,指出对国内电厂燃煤含硫量超过2%以上机组不适宜采用超(超)临界机组。     

神华煤燃烧性能及其在火电机组"上大压小"中的作用

在总结神华煤及与其他动力煤配煤特性的基础上,重点分析神华煤与其他动力煤不同掺烧比条件下锅炉运行的经济性能、环保性能及其他性能,突出神华煤在火电机组"上大压小"中的重要作用。     

锅炉煤质变化应对措施探讨

针对青岛发电厂锅炉设备特点和燃煤质量不稳定的状况,提出燃煤质量的判别方法和技术要求,对锅炉设备进行改进,改善燃烧调整能力和锅炉受热面承受能力,提高了锅炉热效率和设备安全性。     

煤质预测、预报与配煤入选

根据南桐选煤厂入选的原煤来源复杂、煤质差异大和产品用户多等特点,分析该厂在煤质预测、预报与配煤入选方面的可行性和必要性,并介绍煤质预测、预报和配煤方面的实践经验.     

The creep experiment and theoretical model analysis of gas- containing coal

A creep experiment of preformed molding coal under different confining pressures were carried out using self-developed 3-triaxial creep loading device for gas-containing coal, which loaded by Shimadzu AGI-250 kN electrical servo-controlled stiffness testing machine. Based on the experimental results, the variation trend of axial deformation under different stress states was studied, and creep failure characteristics of gas-containing coal under different confining pressures were analyzed. The experimental results were identified with seven-component nonlinear viscoelasto-plastic creep model （Hohai model）, and the creep material parameters were obtained. The experimental result complies well with the theoretical value of this model. It indicates that creep constitutive relation of gas-containing coal can be expressed by nonlinear viscoelasto-plastic creep model correctly.     

机电设计技术实践与应用

介绍了米村煤矿两个煤柱工作面的情况,通过对工作面机电设计方案进行优化,实现了复杂地质条件下不规则工作面的合理集中生产,获得了较高的投入产出比,具有一定的借鉴价值。     

甘肃正宁南部煤田煤质特性分析

通过试验数据,对甘肃正宁南部煤田主采8层煤的煤质特性及主要工艺性能进行分析评价,并初步提出了该煤田煤的利用方向。     

Research on prediction for coal and gas outburst based on Matlab neural network toolbox and its application

In order to predict the danger of coal and gas outburst in mine coal layer correctly, on the basis of the VLBP and LMBP algorithm in Matlab neural network toolbox, one kind of modified BP neural network was put forth to speed up the network convergence speed in this paper. Firstly, according to the characteristics of coal and gas outburst, five key influencing factors such as excavation depth, pressure of gas, and geologic destroy degree were selected as the judging indexes of coal and gas outburst. Secondly, the prediction model for coal and gas outburst was built. Finally, it was verified by practical examples. Practical application demonstrates that, on the one hand, the modified BP prediction model based on the Matlab neural network toolbox can overcome the disadvantages of constringency and, on the other hand, it has fast convergence speed and good prediction accuracy. The analysis and computing results show that the computing speed by LMBP algorithm is faster than by VLBP algorithm but needs more memory. And the resuits show that the prediction results are identical with actual results and this model is a very efficient prediction method for mine coal and gas outburst, and has an important practical meaning for the mine production safety. So we conclude that it can be used to predict coal and gas outburst precisely in actual engineering.     

控制爆破技术在井下煤仓工程中的综合应用

义马煤业集团义络煤业公司在水平延深中,根据煤仓工程的特点,综合应用控制爆破技术解决三水平施工与二水平生产的矛盾,取得了较好的施工效果。