The granular dynamic shear strength is the same as that of the staatic one in nature, as found from munerous experiments and investigations. The shear strength is equal to the sum of the interanl frictional rorce and the cohesive force. The influences of type, shape, size distriburion, proe ratio, moisture content and variation of vibration velocity on the dynamic shear strength of granules were stuied. Based on numerous vibration shear experiments, the authors investigate the mechanism of dynamic shear strength in granules in etrms of the fundamental principle and the relevant theory of modem tribology.

In order to resolve how to mine under the comdition of high stress with rockburst, this paper analyzes the law of rockburst, and considers that most of the rockbursts occur in the high stress area of stope. A method rockburst forecast, and its steps are given, and three different stages of rockburst ane identified. Furhtermore, this paper considers that blasting energy can effectivley control rocdburst by changing the characteristics of rock mass, which decreases the probability of rockburst happening. According to characteristics of rockburst, two feasible mining techniques uneder rockburst conditions are put forward, that is stoping-and-filling method, and sublevel caving method of mining withour any sills in hanging wall.

The paper stueies the probability of indusrial application of vibration liquefaction of bulk solid from the opposite point of view, and proposing turning its harmful effects into benefits. Utilizing a new device of vibration liquefaction and by compacting saturated bulk solid, a set of additional device for experiment was designed. These experiments examined the problems related to vibration liquefaction of fine-ores and tailings on the basis of DSA-1 type direct shear apparatur, including models of straight of vibration liquefaction and compacting of tailings were studied, and future application of technique to miees has been put forward.

Based on the analysis of the disadvantages of traditional methods in reducing pipeline resistance, the new conception of dynamic drag reduction in pipeline transportation has been proposed. The experimental results and mechanism of dynamic reduction of pipeline resistance were also discussed in detail. The main conclusion is that the dynamic reduction of resistanee exerts forces on the moving materials along both the radial direction and the axial direction. The radial force throws the materials upwards to depart from the pipe wall to reduce the frietional force, while the axial force directly reduces the resistance by providing the force to overcome the drag.

应用神经网络模式识别原理，构建一种人工神经网络（ANN）——弹性神经网络，能较好地解决常用BP神经网络梯度算法中可能出现的收敛缓慢和局部最小问题，将模型应用于大红山铜矿缓倾斜中厚矿体采矿方法模糊优选，与用模糊数学法得出的结论基本一致。终选出的采矿方法工业试验后取得了显著成效，证明该决策方法切实可行。