1) displacement surveying of wall rock
巷道变形观测
1.
It is workable to identify the mechanics parameters of rock mass by neuron network according to displacement surveying of wall rock.
研究了用人工神经网络辨识岩石工程岩体力学参数的基本原理、网络结构、网络训练样本的获得及网络训练方法·在此基础上 ,提出了用人工神经网络辨识岩石工程岩体力学参数的方法和步骤 ,并给出了一个参数辨识实例·结果表明 ,依据巷道变形观测 ,用神经网络辨识岩石工程岩体力学参数是可行的·该方法为研究岩体物理力学性质参数和岩石工程初始地应力条件提供了一个有效途径 ,尤其适用于软岩情况下岩体力学参数的辨识
2) Roadway deformation
巷道变形
1.
Study on over rock moving and roadway deformation within the curve subsidence zone;
采场弯曲下沉带内部巷道变形与岩层移动规律研究
3) deformation of roadway
巷道变形
1.
Based on the volumetric expansion of broken rocks and the fact that the deformation of roadways in broken rock state is mainly caused by the expansion of rocks within the broken zone, a new geometric method of calculating the deformation of roadways is put forward.
基于岩石破裂后体积膨胀和巷道变形主要是由破裂区围岩体积膨胀引起的事实，提出了一种新的巷道变形量计算法——几何计算法。
4) Tunnel deformation
巷道变形
1.
According to the contact condition of wall rock and lining and based on the elasto-viscoplastic theory,problems of tunnel deformation and the lining resistance,and their relation with viscosity coefficient and time are discussed.
研究结果显示:黏性系数越小,时间对于软岩巷道变形影响越大;增大围岩的黏性系数将会减小巷道的变形。
6) roadway with large deformation
大变形巷道
1.
Mechanical characteristics of rock bolts in the roadway with large deformation;
大变形巷道锚杆力学特性的数值模拟
2.
strain-soften characteristics) in the roadway with large deformation.
根据现场和模型试验测试结果,通过深入研究锚杆单元与围岩单元的相互作用关系,建立能够真实地反映大变形巷道锚杆力学特性(应变软化特性)的锚杆单元模型,应用VC++编程,将其成功地应用于工程实践。
补充资料：大坝内部变形观测(见水工建筑物变形观测)
大坝内部变形观测(见水工建筑物变形观测)
daba neibubianxing guanCe大坝内部变形观测见水工建筑物变形观测。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条