1) displaced mass
移位岩体
2) rock mass displacement
岩体位移
1.
The paper discusses the generation mechanism of shallow tunnel roof rock mass displacement, proposes the displacement generation of highway tunnel surrounding rock have not only relevant with geological factors, but also with the design parameters and construction methods and other factors of tunnel, and find that tunnel construction footage is the the main factor.
建立了一套切实有效的洞顶岩体位移量测技术方法,有效地解决了量测信息滞后和不完整的问题,使岩体位移信息首次获得了完整的反映。
3) rock and soil body's displacement
岩土体位移
4) displaced mass
移位岩体;推覆体
5) 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
6) 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。
补充资料：移位
分子式：
CAS号：
性质：见易位
CAS号：
性质：见易位
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