Anisotropic strength,deformation and failure of gneiss granite under high stress and temperature coupled true triaxial compression

The anisotropic mechanical behavior of rocks under high-stress and high-temperature coupled conditions is crucial for analyzing the stability of surrounding rocks in deep underground engineering.This paper is devoted to studying the anisotropic strength,deformation and failure behavior of gneiss granite from the deep boreholes of a railway tunnel that suffers from high tectonic stress and ground temperature in the eastern tectonic knot in the Tibet Plateau.High-temperature true triaxial compression tests are performed on the samples using a self-developed testing device with five different loading directions and three temperature values that are representative of the geological conditions of the deep underground tunnels in the region.Effect of temperature and loading direction on the strength,elastic modulus,Poisson’s ratio,and failure mode are analyzed.The method for quantitative identification of anisotropic failure is also proposed.The anisotropic mechanical behaviors of the gneiss granite are very sensitive to the changes in loading direction and temperature under true triaxial compression,and the high temperature seems to weaken the inherent anisotropy and stress-induced deformation anisotropy.The strength and deformation show obvious thermal degradation at 200℃due to the weakening of friction between failure surfaces and the transition of the failure pattern in rock grains.In the range of 25℃ 200℃,the failure is mainly governed by the loading direction due to the inherent anisotropy.This study is helpful to the in-depth understanding of the thermal-mechanical behavior of anisotropic rocks in deep underground projects.

四川康定某深埋隧道花岗岩岩爆物理模拟实验研究

四川康定折多山某隧道因其埋深大、构造应力高度集中,在修建过程中极易产生岩爆.为探索折多山某隧道花岗岩段不同深度条件下岩爆机制,利用真三轴岩爆实验系统,开展了不同深度下的花岗岩岩爆物理模拟实验.借助应力监测、高速摄像和声发射等系统,从声、光、力等多角度研究了折多山某隧道花岗岩岩爆的阶段特征、时间特征、主要破坏方式、裂纹演化等规律.结果表明:折多山花岗岩岩爆具有时滞性特征(time delaying rockburst,TDR),在500~1 100 m不同埋深条件下,约770 m为折多山花岗岩单面临空真三轴强度的临界深度;不同深度下的岩爆有明显阶段特征,可分为平静期、劈裂成板、板折剥落、整体弹射4个阶段;声发射特征揭示折多山花岗岩岩爆主要为张拉破坏,随深度增加,张拉裂纹逐渐增加,剪切裂纹逐渐减少;根据岩爆时应力差与单轴抗压强度比值将折多山花岗岩岩爆分为3种破坏模式:小颗粒弹射破坏、岩板劈裂破坏、岩屑混合弹射破坏;且应力比值(σ_(V)-σ_(H1))/σ_(C)越大,岩爆烈度越大.

Realtime prediction of hard rock TBM advance rate using temporal convolutional network(TCN)with tunnel construction big data

Real-time dynamic adjustment of the tunnel bore machine(TBM)advance rate according to the rockmachine interaction parameters is of great significance to the adaptability of TBM and its efficiency in construction.This paper proposes a real-time predictive model of TBM advance rate using the temporal convolutional network(TCN),based on TBM construction big data.The prediction model was built using an experimental database,containing 235 data sets,established from the construction data from the Jilin Water-Diversion Tunnel Project in China.The TBM operating parameters,including total thrust,cutterhead rotation,cutterhead torque and penetration rate,are selected as the input parameters of the model.The TCN model is found outperforming the recurrent neural network(RNN)and long short-term memory(LSTM)model in predicting the TBM advance rate with much smaller values of mean absolute percentage error than the latter two.The penetration rate and cutterhead torque of the current moment have significant influence on the TBM advance rate of the next moment.On the contrary,the influence of the cutterhead rotation and total thrust is moderate.The work provides a new concept of real-time prediction of the TBM performance for highly efficient tunnel construction.