Soft rock wall of tunnels in deep mining will have large creep deformation when the stress in rock is near its ultimate strength.
在深井软岩条件下，巷道围岩应力状态处于岩石强度极限邻域内，围岩会产生较大的蠕变变形。
In order to meet technical needs and minimize the deformation of tunnel, bolt-grouting supporting program was adopted on analysis of interaction between supporting and wall rock.
为了满足掘进巷道的技术要求，解决巷道的变形，通过对巷道支护与围岩相互作用及目前各类巷道支护形式及支护效果分析研究，决定采用锚注支护方案。
By computer simulation, we analysis and study the law of wall rock stress distribution, deformation, the axial force of bolt and the roof-off-strata.
通过计算机数值模拟分析研究了锚杆支护回采巷道围岩应力分布、围岩变形、锚杆轴力及顶板离层规律。
One of the important factors taken into account in the tunnel classification is the style of deformation and failure, which is related to initial stress state in wall rock.
隧道按埋深分类应考虑的主要因素之一是围岩的变形破坏方式，而后者与围岩的初始应力状态密切相关。
Huge deformation of wall rock has a strong impact on the stability of roadway in many underground opening engineering.
在许多地下巷道工程中，围岩巨大的变形严重影响巷道稳定性。
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.
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。
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.
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。
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