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基于表面分形特征的煤岩冲击倾向性评价
引用本文:吴鑫,刘长武. 基于表面分形特征的煤岩冲击倾向性评价[J]. 地下空间与工程学报, 2013, 9(5): 1045-1049
作者姓名:吴鑫  刘长武
作者单位:1. 四川水利学与山区河流开发保护国家重点实验室,成都 610065;2. 四川师范大学 工学院,成都 610101;3. 四川大学水利水电学院,成都 610065
基金项目:承压水长期作用下煤的软化机理与强度变化规律研究(50574064);深部断续煤岩体的变形破坏规律和工程动力学响应特征(2010CB226802);四川省教育厅科研项目(12ZA143,11ZB078)
摘    要:
对于煤岩体冲击倾向性的评价,目前主要采用煤的冲击能量指数KE,弹性能量指数WET和动态破坏时间Dt三种指标。由于煤岩体的孔隙越发育(也就是孔隙率大、孔隙数量多、结构复杂等),则一般情况下其宏观力学强度就越低,岩体内积聚的能量容易通过塑性变形或破裂消耗掉,冲击倾向性就越低;同时,通过研究煤岩扫描电镜(SEM)图像,计算其孔隙特征参数和分形维数,发现煤岩体具有良好的分形特征,并且孔隙发育程度可以很好地被分形维数所描述,因此引入分形维数Df来描述煤岩冲击倾向性是合适的,一般来说分形维数越大则冲击倾向性越小。

关 键 词:冲击矿压    孔隙  扫描电镜  分形维数  
收稿时间:2013-08-12

Evaluating the Proneness of Coal Rockburst Based on the Surface Fractal Feature
Wu Xin,Liu Changwu. Evaluating the Proneness of Coal Rockburst Based on the Surface Fractal Feature[J]. Chinese Journal of Underground Space and Engineering, 2013, 9(5): 1045-1049
Authors:Wu Xin  Liu Changwu
Affiliation:1. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China; 2. Institute of Technology, Sichuan Normal University, Chengdu 610101, China; 3. College of Hydraulic and Hydroelectric Engineering, Sichuan University, Chengdu 610065, China
Abstract:
Currently, there are three major indexes applied in evaluating proneness of the coal rockburst, including impact energy index KE,elastic energy index WET, and dynamic failure time Dt. In general case, the more complicated the porosity of coal rock is, that is, higher porosity, more pores, more complicated structure, etc., the greater the attenuation of the mechanical strength will be, and the easier the consumption of energy, accumulated in the coal rock, will be consumed away by means of plastic deformation or rupture, therefore the less the proneness of impact will be; meanwhile, by studying coal rock image taken by scanning electron microscopy (SEM) to calculate the pore characteristic parameters and the fractal dimension, it is found that coal-rock mass has good fractal characteristics, and that the pore development can be well demonstrated by fractal dimension. Therefore, in addition to the three indexes, the fractal dimension Df also can be introduced to evaluate the proneness of the coal rockburst based on the above research, and the conclusion can be drawn that the greater the fractal dimension, the less the proneness of coal rockburst will be.
Keywords:rock burst  coal  pore  SEM  fractal dimension  
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