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机构地区:[1]新疆和合矿业有限责任公司,新疆和静813200 [2]武汉工程大学环境与城市建设学院,湖北武汉430074
出 处:《武汉工程大学学报》2011年第4期46-49,53,共5页Journal of Wuhan Institute of Technology
基 金:国家自然科学基金项目(50974031)资助
摘 要:在金山店铁矿东区浅部开采岩层变形相似材料物理模拟的基础上,结合34#剖面工程地质特征建立了深部开采的FLAC数值分析模型.随后,依据-550 m水平开挖时相似材料物理模拟的地表变形实测值,采用BP神经网络和遗传算法等手段对相似材料力学参数进行了优化,构建了深部开采相似材料模拟数值试验模型.以该数值试验模型对金山店铁矿深部开采岩层变形规律进行了研究,结果表明:进入深度开采后,上盘岩层移动角趋于58°,下盘岩层移动角趋于63°.这种研究方法不仅节省了做相似材料物理模拟试验的费用和时间,而且误差可以控制在5%的允许范围内,其结果对深部开采地表征地和搬迁具有重要的参考价值.FLAC numerical modle of deep mining was established with engineering geological characteristics of 34# section,based on similar material physical model for rock deformation during shallow mining in the east of Jinshandian Iron ore. Subsequently,according on surface deformation of physical excavation model at-550 m level,mechanical parameters of similar material were optimized by means of BP neural networks and genetic algorithms.Rock deformation of deep mining was studied based on this mode.The results indicated that rock movement angle of the upper plate and lower plate tende to 58°and 63° during deep mining. Using this treament method,not only the cost and time of similar materials physical model were saved,but also error could be controlled within 5% of the allowable range,the results has important reference value for land acquisition and relocation of deep mining.
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