Study on distribution law of surrounding rock pressure in unsymmetrical loading tunnel with coupling effect from topography and geology

Author(s):  
Z Wang ◽  
L Xu ◽  
Y Kang ◽  
X Wang ◽  
X Long
2015 ◽  
Vol 22 (6) ◽  
pp. 2339-2347 ◽  
Author(s):  
Ming-feng Lei ◽  
Li-min Peng ◽  
Cheng-hua Shi ◽  
You-jun Xie ◽  
Li-xin Tan

2019 ◽  
Vol 9 (24) ◽  
pp. 5514 ◽  
Author(s):  
Cong Liu ◽  
Limin Peng ◽  
Mingfeng Lei ◽  
Chenghua Shi ◽  
Ning Liu

The Haoji railway in China is the longest heavy haul railway in the world, including 235 tunnels located along the 1837 km railway. With the increasing axle load of the new line and the basal deterioration of the existing heavy haul railway in China, studying the fatigue performance of the newly designed tunnel structure is essential. To study the coupling effect of the surrounding rock pressure and 30 t axle load train, in this study, we combined three-dimensional numerical simulation and three-point bending fatigue tests to investigate the fatigue performance of the basal structures. The results of numerical simulation indicate that the center of the inverted arch secondary lining is the position vulnerable to fatigue in the lower tunnel structures; the surrounding rock pressure performance exerts a stronger influence on the stress state of the vulnerable position than the dynamic train loads. The S–N formula obtained from the experiment showed that the fatigue life of tunnel bottom structures decreases with increasing surrounding rock pressure and dynamic load. In typical grade V surrounding rock and 30 t axle loads, fatigue failure will not occur in the newly designed tunnel bottom structures within 100 years if bedrock defects are lacking and pressure of surrounding rock is not excessive.


2012 ◽  
Vol 446-449 ◽  
pp. 1432-1436
Author(s):  
Suo Wang

In order to predict tunnel surrounding rock pressure, this paper puts forward a series of dynamic numerical simulative model on the tunnel excavation. According to the change of rock damage in the construction program, it adjusts dynamically the mechanical material parameters of surrounding rock. So the model achieves the purpose which is controlling and simulating the process of tunnel progressive damage. In accordance with the numerical simulative results, it analyzes the relationship between the rock parameters with the plastic strain, radial displacement. Then this paper proposes a prediction method of tunnel surrounding rock pressure based on the theory of the progressive damage and method of characteristic curve. Finally, it compares the pressure on the numerical simulative models with on the site date, and it proves that the prediction method has practical engineering value.


2013 ◽  
Vol 351-352 ◽  
pp. 1173-1178
Author(s):  
Zhou Chun Cai ◽  
Chuan Li ◽  
Yuan Yu Guan ◽  
Wu Fen Chen ◽  
Li Jun Guo ◽  
...  

During the period of tunnel excavation, shoring, forming and long-term operation, stress changes of tunnel surrounding rock are complex, the real-time monitoring of surrounding rock pressure is the key factor in ensuring long-term stability in tunnel. Fiber Bragg grating earth pressure sensors apply in surrounding rock pressure of tunnel which can change the pressure of the surrounding rock into fiber Bragg grating wavelength shift. According to the feature of pressure and temperature in Tian Xin Tunnel, 40 earth pressure sensors are embedded in 20 representative sections and one earth pressure sensor is embedded in each arch shoulder. In addition, one temperature compensation sensor is embedded in each arch crown. During the 235 monitoring days, the biggest daily change of surrounding rock pressure reaches 800 KPa. In 3 months of the sensor installation, the average monthly variation is within 50 KPa. The long-term measurement results indicate that the changes of surrounding rock pressure are different in different locations. When the surrounding rock is close to the excavated and blasted surface the surrounding rock pressure changes largely.


2015 ◽  
Vol 9 (4) ◽  
pp. 427-445 ◽  
Author(s):  
Xin-Rong Liu ◽  
Dong-Liang Li ◽  
Jun-Bao Wang ◽  
Zhen Wang

Engineering ◽  
2020 ◽  
Vol 12 (02) ◽  
pp. 59-70
Author(s):  
Bin Shang ◽  
Xiaoguang Jin ◽  
Guiyong Ao ◽  
Qiao Chen ◽  
Qiong Qiu

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