【作者】 李胜；

【导师】 张宏伟；

【作者基本信息】 辽宁工程技术大学 ， 采矿工程， 2004， 博士

【摘要】 煤与瓦斯突出是地应力、瓦斯、煤的物理力学性质等因素综合作用的结果。国内外开采实践表明，煤与瓦斯突出的发生呈区域性分布，瓦斯灾害发生区域只占整个开采区域的8％～20％。文中通过地质动力区划方法确定区域地质构造背景，采用多因素模式识别概率预测方法完成煤与瓦斯突出危险性的区域预测。在理论分析和查明多个突出影响因素与突出危险性之间的内在联系的基础上，确定模式识别准则、建立模式识别模型，完成模式识别系统设计、模式识别算法研究、概率预测准则确定和煤与瓦斯突出区域预测信息系统的开发。进而划分煤与瓦斯突出危险区、突出威胁区和无突出危险区，对煤与瓦斯突出危险性做出评估和预测，提高瓦斯灾害预测的准确性。更多还原

【Abstract】 Coal and gas outburst is the synthesize result of stress, gas, coal physics mechanics etc. It is indicated by domestic and overseas mining practice that the district where coal and gas outburst is territorial, the disaster occurrence area accounts for only 8%~20% of whole mine district. In this paper, geo-dynamic zoning method was used to research regional geology structure, multi-factor pattern recognition method was applied to predict regional coal and gas outburst danger. Based on theory analyst and the relation among the factors affecting coal and gas outburst, the norm and model of pattern recognition were established, then the design and algorithm of pattern recognition system were completed, on which the probability prediction norm were certain and the development of coal and gas outburst regional prediction system was completed. The mining area was then divided into coal and gas outburst dangerous area threat area and safety area, to assess and predict the danger of coal and gas outburst, the accuracy of gas of coal and gas outburst predict was improved.更多还原