1) internal displacement of surrounding rock
围岩内部位移
1.
Based on dynamic damage variable and internal displacement of surrounding rock,combining with the monitoring results of Damaoshan tunnel,accumulative damage effects of interlaid rock in tunnel groups with small clear distance are studied.
结合大帽山小净距隧道群的监控量测实践,基于动力损伤变量和围岩内部位移,研究小净距隧道群中夹岩的累计损伤效应。
2) displacement of deep surrounding rock
深部围岩位移
3) the deep displacement of surrounding rock
围岩深部位移
1.
Secondly according to the theory and situ measurement,analyzed the deep displacement of surrounding rock and ground surface settlement the excavation of tunnel,derived the principles of temporal and spatial effects.
然后从理论和现场实测数据出发,分析了隧道开挖引起的围岩深部位移和地表沉降变化,得出施工引起的时空效应规律。
4) Displacement of surrounding rock
围岩位移
1.
After the excavation of powerhouse system, we monitored that the displacement of surrounding rock increases quickly and its space displacement is obvious.
厂房系统开挖后,监测到围岩位移迅速增大,空间位移表现明显,围岩位移和应力一般在支护后变化逐渐趋缓;围岩位移和锚杆应力曲线呈台阶式分布,从围岩位移变化、锚杆和锚索应力变化来看,厂房与主变室的交叉洞口处,变形较大,厂房上游拱座处受力较为复杂,变形也较大。
2.
According to the large quantity of in situ measured data,the characteristics and variation laws of displacement and load of bolts in the surrounding rock are studied,and the factors which influence the displacement of surrounding rock and the load along bolts are analyzed as well.
通过大量的原型监测数据 ,研究了大型地下洞室的位移特性、锚杆应力特性以及它们的变化规律 ,并分析了对围岩位移和锚杆应力的影响因
5) surrounding rock displacement
围岩位移
1.
Forecasting evolution of tunnel surrounding rock displacement by ε-SVR;
基于ε-SVR算法的隧道围岩位移演化规律预测
2.
A method of predicting surrounding rock displacement is set up by using the RBF nerve network s function of powerful nonlinear mapping and fast convergence rate, in which the monitoring data of surrounding rock displacement are chosen.
选择现场监测的围岩位移数据为样本,利用径向基函数RBF神经网络具有强大的非线性影射能力和收敛速度快的特点,建立围岩位移预测神经网络模型进行位移预测。
3.
According to construction,design and on-site conditions,authors firstly set up finite element model of a tunnel,and then describe the distribution of surrounding rock displacement.
依据某隧道施工设计及现场施工建立线弹性的隧道有限元模型,描述围岩位移场的空间分布。
6) rock displacement
围岩位移
1.
The investigation of intelligent back analysis of tunnel rock displacement;
隧道围岩位移智能化反演研究
补充资料:白银有色金属公司深部铜矿主井和副井
白银有色金属公司深部铜矿主井和副井
白银有色金属公司深部铜矿主井和副井
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