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煤岩细观损伤电磁辐射理论模型及应用研究

Study on the Electromagnetic Emission Theory Model of Coal-rock Meso-scale Damage and Application in Coal Mines

【作者】 陈文学

【导师】 何学秋; 聂百胜;

【作者基本信息】 中国矿业大学(北京) , 安全技术及工程, 2010, 博士

【摘要】 本文利用实验研究、理论分析、图像处理技术以及现场试验相结合的方法,研究了单轴压缩条件下煤岩细观损伤动态破坏演化规律、损伤电磁辐射变化规律、电磁辐射信号参数与煤岩细观损伤量之间响应关系和煤岩动力灾害预测方法体系等。研究了基于CT数的煤岩单轴压缩细观损伤破坏规律和损伤过程中电磁辐射变化规律;借助图像处理技术对CT图像进行图像增强、像素分割和重建处理,比较了CT数与CT图像的对应关系,在此基础上研究了基于像素数的煤岩损伤动态破坏规律;结合细观损伤力学和实验数据,建立了煤岩细观损伤破坏三阶段演化和本构方程;通过研究电磁辐射产生微观机理,结合不同实验材料所得电磁辐射信号参数进行分析,得到电磁辐射强度和脉冲数与损伤量的量化关系,并根据煤岩细观损伤破坏演化与本构关系得到煤岩细观损伤电磁辐射响应理论模型;结合现场需要,进一步整合了电磁辐射法预测煤岩动力灾害系统,建立了煤岩动力灾害电磁辐射预测体系,并进行了验证,结果表明,电磁辐射非接触预测法对于煤与瓦斯突出、巷道稳定性评价等是可行的。

【Abstract】 Based on experimental work, theory analysis, image process technology and field test, the rule of damage and failure of coal-rock under unixial compression, the generation mechanism of electromagnetic in process of coal-rock failure, the response relation between electromagnetic signal and meso-scale damage of coal-rock and coal-rock dynamic disaster monitoring method system are studied in this paper. The CT number is used to analyize change law of the damage process of coal-rock failure. The image process technique is used to process image for image enhancement, pixel segmentation and reconstruction etc. Based on processed image, the change law of pixel with strain is analyzed, which has similar trend with CT number. Based on meso-scale damage mechanics and experimental data, a three steps propagation and constitute damage and failure model is derived for coal-rock under unixial compression. According to the change laws of electromagnetic wave in failure process of coal-rock under unixial compression, a coal-rock damage electromagnetic emission generation model are built based on synthesis charge separation contributing to EME. Using different materials to be conducted in experimental work, the relation between EME intensity, impulse number and damage quantity are gained. An experimental response model for EME and damage is gained as well. According to field situation, using exiting equipments and technology, a coal-rock dynamic disaster predicting system is developed. A case study shows that EME monitoring system can predict coal and gas outburst and evaluate stability of roadway in coal mines.

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