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基于粗集与神经网络相结合的岩移影响因素分析与开采沉陷预计方法研究 被引量:25
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作者 张庆松 高延法 +1 位作者 刘松玉 孙宗军 《煤炭学报》 EI CAS CSCD 北大核心 2004年第1期22-25,共4页
利用粗集理论,对不同矿区36个工作面的岩移观测资料进行了分析,得到了地质开采条件和地表沉陷之间的依赖关系.建立了以粗集作为前处理器,基于粗集与神经网络相结合的开采沉陷预计模型.实例检验证明了该模型的正确性.
关键词 粗集理论 神经网络 岩移分析 沉陷预计
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MECHANISM OF WATER-SOIL COUPLED ACTION DURING MINING SUBSIDENCE 被引量:4
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作者 狄乾生 黄山民 《Journal of China University of Mining and Technology》 1991年第1期105-116,共12页
This paper,on the basis of the scientific research of engineering geological exploration in a mining area,systematically studies the reasons and influence factors of consolidation and deformation of the saturated soil... This paper,on the basis of the scientific research of engineering geological exploration in a mining area,systematically studies the reasons and influence factors of consolidation and deformation of the saturated soil included in the thick loose water-bearing overburden due to mining subsidence,and analyses the dissipation of hyperstatic pore water pressure during the change of original stress and strain state of the soil. Again,by means of the coupled model based on Cambridge model and Biot's three-dimensional consolidation theory,adopting a great many physico-mechanical parameters measured in various soil layers,the paper analyses the consolidation and deformation of saturated soil affected by mining subsidence with elasto-plastic finite element method.Thus,the research not only reveals the regulation of stress,strain,displacement and hyperstatic pore water pressure dissipation in overlying soil mass,but also opens up a new direction and way for the research of mining subsidence. 展开更多
关键词 mining subsidence coupled model finite element method elasto-plastic theory
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