Model tests on longitudinal surface settlement caused by shield tunnelling in sandy soil

Fang, Yong; Chen, Zhongtian; Tao, Liming; Cui, Jian; Yan, Qixiang

doi:10.1016/j.scs.2019.101504

Cited by 62 publications

(27 citation statements)

References 27 publications

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“…e terrestrial heat in the construction environment not only worsens the working conditions of mechanical equipment but also increases the number of failures; it also seriously jeopardizes the health and safety of workers. erefore, it is necessary to analyse the causes of high ground temperature in combination with actual engineering examples (Table 1) and improve the understanding of the high ground temperature environment, so as to better resolve the hazards [15,16,[19][20][21][22].…”

Section: Causes and Effects Of Terrestrial Heatmentioning

confidence: 99%

Influence of Ground Temperature on Shotcrete-to-Rock Adhesion in Tunnels

Duan

Zhang

Lai

2019

Advances in Materials Science and Engineering

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Long and deep tunnels are increasingly designed and built worldwide, often in severe geothermal environments characterized by high temperature in the rocks. is issue cannot be ignored because high temperature definitely affects the strength of the adhesion between the concrete and the surrounding rocks, whatever the lining cast in place, segmental or sprayed using shotcrete. e causes of geothermal heat and the effect of the temperature on tunnel linings during and after their construction are recalled and discussed in this paper. Both temperature and humidity are shown to be the most relevant factors affecting adhesion strength, whose loss is related to the microdamage in the shotcrete layers closest to the rock. Possible ways to improve adhesion strength and to minimize the high-temperature detrimental effect are also presented and discussed.

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Section: Causes and Effects Of Terrestrial Heatmentioning

confidence: 99%

Influence of Ground Temperature on Shotcrete-to-Rock Adhesion in Tunnels

Duan

Zhang

Lai

2019

Advances in Materials Science and Engineering

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“…It shows that the prediction of rockburst should be combined with the monitoring of the construction site. It is necessary to know the dynamic trend of rockburst in time and then formulate corresponding prevention measures [41][42][43][44], so as to minimize the loss caused by rockburst.…”

Section: Simulation Prediction Using Bp Neural Network Modelmentioning

confidence: 99%

Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network

Zheng

Zhong

Fang

et al. 2019

Advances in Civil Engineering

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A rockburst prediction model of the entropy weight grey relational backpropagation (BP) neural network is developed. The model needs to select the evaluation factors according to the engineering practice and establish the sample library. The entropy weight method is used to calculate the objective weight of the characteristic factors, and the similarity between the samples is calculated by the combination of grey relational theory and the entropy method. The training sample of the BP neural network is selected by threshold determination. Finally, we use the trained neural network to estimate the rockburst intensity grade of samples to be tested. This model is applied to the rockburst prediction of Qamchiq tunnel project, and the prediction results are in good agreement with the actual conditions of the subsequent construction, thus verifying the feasibility and effectiveness of the model in the rockburst prediction.

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“…When a tunnel is excavated, a support system is installed to ensure the stability of the excavated underground caverns by controlling the displacement of the rock mass, so as to address the safety issues that may arise [5][6][7][8]. In recent times, an increasing number of the complex geological conditions have been confirmed in underground space development [9][10][11][12], this is especially so in the squeezing ground areas which have resulted in a series of tunnel construction problems such as extreme deformation, support structure failure or even collapse, and examples can be easily found in the Zhegushan and Laodongshan tunnels in China [13,14], tunnel 35 of the Ankara-Istanbul high-speed railway project in Turkey [15], and Kaligandaki tunnel in Nepal [16]. e continuous hazards yield brand-new challenges to tunnel construction in squeezing ground [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Support System for Tunnelling in Squeezing Ground of Qingling‐Daba Mountainous Area: A Case Study from Soft Rock Tunnels

Wang

Lai

Garnes

et al. 2019

Advances in Civil Engineering

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Tunnelling or undertaking below-ground construction in squeezing ground can always present many engineering surprises, in which this complicated geology bring a series of tunnelling difficulties. Obviously, if the major affecting factors and mechanism of the structure damage in these complicated geological conditions are determined accurately, fewer problems will be faced during the tunnel excavation. For this study, reference is made to four tunnel cases located in the Qingling-Daba mountainous squeezing area that are dominated by a strong tectonic uplift and diversified geological structures. This paper establishes a strong support system suitable for a squeezing tunnel for the purpose of addressing problems exhibited in the extreme deformation of rock mass, structure crack, or even failure during excavation phase. This support system contains a number of temporary support measures used for ensuring the stability of tunnel face during tunnelling. The final support system was constructed, including some key techniques such as the employment of the foot reinforcement bolt (FRB), an overall strong support measure, and more reserved deformation. Results in this case study showed significant effectiveness of the support systems along with a safe and efficient construction process. The tunnel support system proposed in this paper can be helpful to support design and provide sufficient support and arrangement before tunnel construction in squeezing ground.

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Model tests on longitudinal surface settlement caused by shield tunnelling in sandy soil

Cited by 62 publications

References 27 publications

Influence of Ground Temperature on Shotcrete-to-Rock Adhesion in Tunnels

Influence of Ground Temperature on Shotcrete-to-Rock Adhesion in Tunnels

Rockburst Prediction Model Based on Entropy Weight Integrated with Grey Relational BP Neural Network

Support System for Tunnelling in Squeezing Ground of Qingling‐Daba Mountainous Area: A Case Study from Soft Rock Tunnels

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