脆性岩石卸围压试验与岩爆机理研究

岩爆是高地应力区地下工程开挖卸荷产生的动力现象。按照地下工程开挖卸荷特点,开展了脆性花岗岩常规三轴、不同卸载速率条件下峰前、峰后三轴卸围压试验,研究了岩石破坏的全过程并进行了声发射特征分析,探讨了岩爆岩石的变形破坏特征和岩爆形成力学机制。试验结果表明:无论是峰前还是峰后卸围压,高地应力下花岗岩都表现脆性破坏特征,峰前卸围压时岩样表现出的脆性比峰后卸围压更为强烈;卸载速率越快,岩石脆性破坏越强,发生岩爆的可能性越大。试验研究成果对地下工程岩爆发生的机理研究和预测提供了试验依据。

Method for strength parameters of coal samples with different diameters

The rock burst is a kind of large disaster in deep underground engineering, thus, it is very important to predict the rock burst. The influence factors of rock burst are numerous and their relationship is very complicated. It can not be solved by use of simple methods, Generally, based on engineering analogy and geological analysis, the clustering methods have been widely used. For the complicated environment of rock burst, this clustering problem is a very complicated fuzzy and random optimization problem, and can not be solved by use of the traditional methods very well. A new bionics clustering optimization method, ant colony clustering algorithm which is recently proposed, is introduced into the prediction of rock burst for the first time. On such a basis, a new method for the prediction of rock burst is proposed. According to analysis of the data of rock burst samples and from the engineering analogy thinking by the ant colony clustering algorithm, the rock burst can be predicted. Two examples are used to verify the new algorithm. The engineering application has proved that this new algorithm can automatically sort the rock burst samples, that the validity is very high, and that the computing velocity is rapid, so it is a very practical method.