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为了给工程岩爆破坏预测提供理论依据,在花岗岩岩爆模拟试验过程中,利用2台高速相机同步拍摄到碎屑弹射过程的数字图像。利用双目立体视觉技术对图像数据进行分析处理,得到碎屑的三维坐标和体积2个关键参数,进而求得碎屑的弹射速度。根据实测数据对弹射速度预测的理论模型进行经验修正,具体结论如下:修正模型中的应力衰减常数b服从均值和方差分别为1.53×10~4和4.83×10~7的正太分布;经过修正的经验公式相比于原理论公式,未知变量的个数减少1个,只需知道碎屑的质量以及岩爆点对应的静态应力场就能得到碎屑弹射速度的统计分布;大部分岩爆碎屑的质量小于0.25 g,且动能大多数(86%)都集中在长度l<20 mm的碎屑上。
In order to provide a theoretical basis for engineering rock burst damage prediction, two high-speed cameras are used to capture the digital images of the debris ejection process during the granite rock burst simulation test. The binocular stereo vision technology is used to analyze and process the image data to obtain two key parameters of the three-dimensional coordinates and the volume of the debris, and then the ejection velocity of the debris is obtained. According to the measured data, the theoretical model of ejection velocity prediction is empirically revised. The conclusions are as follows: The stress attenuation constant b in the revised model obeys the positive and the underdifferences of 1.53 × 10 ~ 4 and 4.83 × 10 ~ 7 respectively; Compared with the original theoretical formula, the empirical formula reduces the number of unknown variables by one, and only needs to know the mass of debris and the static stress field corresponding to the rock burst point to get the statistical distribution of the velocity of debris ejection; most of the rock burst The quality of the crumbs is less than 0.25 g, and most of the kinetic energy (86%) is concentrated on the crumbs of length <20 mm.