Effects of joint orientation and spacing on the boreability of jointed rock mass using tunnel boring machines

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Morteza Khosravi ◽  
Ahmad Ramezanzadeh ◽  
Shokrollah Zare
Keyword(s):  
Rock Mass ◽  
Jointed Rock ◽  
Jointed Rock Mass ◽  
Joint Orientation ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Boring Machines

Analysis of TBM Tunnel Behavior in Jointed Rock Mass

2011 ◽  
Vol 90-93 ◽  
pp. 2033-2036 ◽  
Author(s):  
Jin Shan Sun ◽  
Hong Jun Guo ◽  
Wen Bo Lu ◽  
Qing Hui Jiang
Keyword(s):  
Rock Mass ◽  
Numerical Models ◽  
Jointed Rock ◽  
In Situ Stress ◽  
Jointed Rock Mass ◽  
Joint Orientation ◽  
Joint Spacing ◽  
Factors Affecting ◽  
Dip Angle

The factors affecting the TBM tunnel behavior in jointed rock mass is investigated. In the numerical models the concrete segment lining of TBM tunnel is concerned, which is simulated as a tube neglecting the segment joint. And the TBM tunnel construction process is simulate considering the excavation and installing of the segment linings. Some cases are analyzed with different joint orientation, joint spacing, joint strength and tunnel depth. The results show that the shape and areas of loosing zones of the tunnel are influenced by the parameters of joint sets and in-situ stress significantly, such as dip angle, spacing, strength, and the in-situ stress statement. And the stress and deformation of the tunnel lining are influenced by the parameters of joint sets and in-situ stress, too.

Effects of Jointed Rock Mass and Mixed Ground Conditions on the Cutting Efficiency and Cutter Wear of Tunnel Boring Machine

2018 ◽  
Vol 52 (5) ◽  
pp. 1303-1313 ◽  
Author(s):  
Yanru Zhao ◽  
Haiqing Yang ◽  
Zhongkui Chen ◽  
Xiangsheng Chen ◽  
Liping Huang ◽  
...  
Keyword(s):  
Rock Mass ◽  
Tunnel Boring Machine ◽  
Jointed Rock ◽  
Jointed Rock Mass ◽  
Cutting Efficiency ◽  
Tunnel Boring ◽  
Cutter Wear ◽  
Ground Conditions ◽  
Mixed Ground

A control system for tunnel boring machines in jointed rock

2018 ◽  
pp. 509-514
Author(s):  
A.H. Zettler ◽  
R. Poisel ◽  
D. Lakovits ◽  
W. Kastner
Keyword(s):  
Control System ◽  
Jointed Rock ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Boring Machines

Influence of Joint Orientation on the Behavior of Dam Resting on Jointed Rock Mass Under Static Condition

2018 ◽  
Vol 48 (4) ◽  
pp. 650-662
Author(s):  
Saurabh Kumar ◽  
Prasun Halder ◽  
Bappaditya Manna ◽  
K. G. Sharma
Keyword(s):  
Rock Mass ◽  
Static Condition ◽  
Jointed Rock ◽  
Jointed Rock Mass ◽  
Joint Orientation

Advance prediction method for rock mass stability of tunnel boring based on deep neural network of time series

2022 ◽  
pp. 095440622110616
Author(s):  
Huo Junzhou ◽  
Jia Guopeng ◽  
Liu Bin ◽  
Nie Shiwu ◽  
Liang Junbo ◽  
...  
Keyword(s):  
Rock Mass ◽  
Prediction Model ◽  
Real Time ◽  
Prediction Method ◽  
Tunnel Boring Machines ◽  
Tunnel Boring ◽  
Error Accumulation ◽  
Boring Machines ◽  
Advance Time ◽  
And Control

Geological layers excavated using tunnel boring machines are buried deeply and sampled difficultly, and the geological behavior exhibits high diversity and complexity. Excavating in uncertain geology conditions bears the risks of excessive damage to the equipment and facing geologic hazards. Many scholars have used various signals to predict the advance geology conditions, but accurate prediction of these conditions in real-time and without effecting operations has not been realized yet. In this article, based on a large amount of corresponding data, an advance prediction model of the rock mass category (RMC) is formulated. First, the problem is divided into two parts, which are modeled separately to reduce the complexity of design and training. Then, the two models are combined in a pre-trained model, which is retrained to as the final prediction model to avoid the problem of error accumulation. The final model can predict the advance RMC in real-time and without affecting operations. The accuracy of the prediction model reaches 99% at an advance time of 60 min. The advance RMC can be used to guide the selection of support modes and control parameters without additional detection equipment and excavation down-time.

A new damage model accounting the effect of joint orientation for the jointed rock mass

2020 ◽  
Vol 13 (7) ◽  
Author(s):  
Changtai Zhou ◽  
Murat Karakus ◽  
Chaoshui Xu ◽  
Jiayi Shen
Keyword(s):  
Rock Mass ◽  
Damage Model ◽  
Jointed Rock ◽  
Jointed Rock Mass ◽  
Joint Orientation
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