基于数学优化算法的煤矿井下岩体参数识别技术研究  

Research on Coal Mine Rock Mass Parameter Identification Technology Based on Mathematical Optimization Algorithm

作　　者：李珉[1] 张敏[1] 孟杰[1] 

机构地区：[1]河北工程技术高等专科学校,河北沧州061001

出　　处：《煤炭技术》2014年第2期168-170,共3页Coal Technology

基　　金：河北教育厅高等学校技术研究计划项目(Z2010230)

摘　　要：结合数值计算方法与遗传算法,并依靠现代工程岩石勘探侦测技术,可以得到工程岩石的重要参数,再对其进行模型化处理,进而可以得到工程岩石的智能等效模型,通过将这种智能等效模型应用到实际工程勘探中,并将这种理论分析结果与实际检测结果进行对比分析,从而发现两者有较好的对应性。由此可以得出,通过理论分析与计算机模拟所得到的智能等效模型能够很好的推算岩土工程的参数,这就为煤矿井下复杂岩土参数的选择提供了新的方法。In combination with numerical calculation method and genetic algorithm, and rely on me modern engineering rock exploration detection technology, be able to get the important parameters of the rock engineering, again carries on the modeling process, and be able to get the smart equivalent model of engineering rock, through the intelligent equivalent model is applied to actual engineering exploration, the theoretical analysis and the result was compared with the actual test results analysis, and both have good Correspondence. Thus we can conclude, through theoretical analysis and computer simulation of intelligent equivalent model can well calculate the parameters of geotechnical engineering, it is for the selection of the coal mine complex geotechnical parameters opens a new route.

关 键 词：智能模型 岩土参数 遗传算法 

分 类 号：TD15[矿业工程—矿山地质测量] TP301.6[自动化与计算机技术—计算机系统结构]