摘要
金川二矿区深部采场面积将达到10×104 m2,埋深将接近1 000 m,因此,深部采场围岩及充填体的稳定性成为二期工程中的关键问题;同时,围岩与充填体的变形发展规律也直接影响矿区开拓工程的安全正常运行。因此,金川矿区采取了水准、收敛以及GPS等多种手段的全方位变形监测。经过长达近两年的连续监测,获得了大量的监测数据。主要介绍了根据现场监测数据,采用神经网络模型,对采场围岩与充填体的变形规律进行预测,给出了由此得到的主要结论。
Because in deposit 2 of Jinchuan Company,the deep stope area will reach 10?04 m2 and the buried depth will reach 1 000 m,the key point of the second stage project is the stability of deep wall rock and filling. At the same time,the deformation feature of wall rock and filling also affects the project抯 safety and normal operation. A great deal of deformation data are obtained in Jinchuan mine by many methods,such as beach mark,convergence and GPS. Based on the deformation data,the deformation rule of wall rock and filling is predicted with neural network model,and some useful conclusion is obtained.
出处
《岩石力学与工程学报》
EI
CAS
CSCD
北大核心
2003年第z2期2625-2632,共8页
Chinese Journal of Rock Mechanics and Engineering
关键词
地下采矿
围岩变形
变形规律
预测
神经网络模型
underground mining,wall rock deformation,deformation rule,prediction,NN model
