Statistics and construction methods for deep TBM tunnels with high geostress: A case study of Qinling Tunnel in Hanjiang-Weihe River Diversion Project

Han, Xingbo; Xiaoming, Liang; Ye, Fei; Wang, Xin; Chen, Ziming

doi:10.1016/j.engfailanal.2022.106301

Cited by 17 publications

(4 citation statements)

References 20 publications

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“…For instance, Iran's Zagros water conveyance tunnel experienced an 8-month shutdown due to incidents of jamming and collapses caused by fault zones with water-bearing gouges and squeezing formations [9]. China's Qinling Diversion Tunnel encountered 159 instances of rock bursts attributed to the high-stress surrounding rock [10]. Similarly, Turkey's Water Diversion Tunnel faced 18 occurrences of TBM jamming due to squeezing formations, which took 192 days to resolve [11].…”

Section: Introductionmentioning

confidence: 99%

Investigation on Disaster Mechanism of Diversion Tunnel Induced by Gripper TBM in Hydrokarst Erosion Stratum and Engineering Measures

Yang

2024

Buildings

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In gripper tunnel boring machine (TBM) tunneling through complex geological formations, the safe and efficient recovery from large-scale collapses remains a formidable challenge. In this study, we investigate the causes of a 1246 m3 collapse that occurred during the gripper TBM tunneling in the diversion tunnel in Xinjiang, China. Various techniques including TSP seismic waves, CFC advanced water exploration, laboratory point load tests and packer permeability tests were employed for thorough research. The examination discloses that the water softening in biotite-quartz schist in fractured zones contributes significantly to the loosening and dislocation of rock layers along joints. The gripper TBM’s cutterhead exacerbates this process through cutting action and vibrations, causing large-scale instability and eventual rock mass collapse. To tackle this engineering problem, we propose a three-step treatment scheme comprising “Reinforcement-Backfill-Re-excavation”. Furthermore, we propose a technique to handle TBM collapses by creating a “protective shell” within the cavity. The safety and feasibility of these proposed solutions were thoroughly validated through numerical simulations. Also, we utilized the Hoek-Brown theory and Rostami prediction formula to establish recommended values for the total thrust and total torque of the TBM during the collapsed section. The proposed treatment scheme and estimated parameters were successfully applied, resulting in a comprehensive solution from collapse handling to tunneling. This study offers valuable details on effectively managing large-scale collapses in gripper TBM tunneling, which can be useful for similar tunnel engineering and improve safety and efficiency.

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Section: Introductionmentioning

confidence: 99%

Investigation on Disaster Mechanism of Diversion Tunnel Induced by Gripper TBM in Hydrokarst Erosion Stratum and Engineering Measures

Yang

2024

Buildings

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“…At the same time, with the development of new technologies such as big data, Internet, artificial intelligence, blockchain, and supercomputing, the traditional tunnel structure safety performance sensing and control need to be deeply integrated with intelligent technology. The application of holographic perception, instant communication, artificial intelligence, big data, cloud computing, Internet of things, and other technologies in the field monitoring of tunnel structure mechanical characteristics, model test, numerical simulation, and safety performance sensing and control needs to be further developed [12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Influence Analysis of Rock Mass Mechanical Properties on Tunnel Rock Stability Based on Sensor Data Integration

Chen

Guo

et al. 2023

Journal of Sensors

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This study takes the multisensor monitoring data of tunnel support structure and surrounding rock mechanical properties during TBM construction as the research object, integrates the monitoring data of multisensor through an intelligent optimization algorithm, and explores the self-consistent fusion characteristics between the multisensor structural mechanical properties and the field monitoring data. At the same time, the support structure parameters and construction progress in the tunnel construction process are dynamically adjusted and scientifically integrated through the information feedback of monitoring data. The research results are as follows: (1) The tunnel excavation rate is different under different rock strengths and surrounding rock levels. The overall performance is that the harder the surrounding rock, the lower the surrounding rock level, and the faster the tunnel excavation rate. The relationship between the FPI parameters of surrounding rock and the deformation of tunnel surrounding rock is closer, and the correlation coefficient reaches 98%. The mechanical properties of the surrounding rock have the greatest influence on its deformation. (2) The rotation speed, thrust, and torque of TBM machinery as well as the surrounding rock workability index and the tunnel surrounding rock deformation maintain a good fitting relationship, with a fitting rate of more than 85%. After the improved PSO-BP algorithm is used to calculate and fit the four parameters of torque, rotational speed, thrust, and surrounding rock drivable coefficient during TBM mechanical construction, the fitting accuracy is higher than 94%. (3) At the same time, according to the analysis of the fitting results, the fitting effect of TBM mechanical thrust is the best among the four-parameter algorithm analysis fitting degrees, which is 99.3%. (4) The measured points are evenly distributed near the surrounding rock deformation surface calculated by the improved PSO-BP algorithm, and the fitting variance is 0.972. With the tunnel excavation, the settlement deformation of surrounding rock first increases rapidly, and then, the settlement deformation enters a slow growth stage and finally reaches a relatively stable state. (5) After the jam occurs, the tunnel is expanded from the telescopic shield or tail shield to the outer side of the shield to reduce the contact area between the shield and the surrounding rock to reduce the extrusion of the surrounding rock pressure on the shield.

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“…Compared with the traditional drilling and blasting method, a TBM has the characteristics of being fast, being efficient, quality assurance, and high-level safety [1,2]. This provides advanced equipment and methods for the construction of long-distance water conveying tunnels under complex geological conditions [3,4], especially in conditions of tunnel with high geostress [5]. Meanwhile, the precast segmental lining of a TBM water conveyance tunnel provides regular sections, which is convenient for constructing the internal concrete lining subject to high internal water pressure [6].…”

Section: Introductionmentioning

confidence: 99%

“…Based on the above discussion, this study is rare in addressing safety-risk assessment by the fuzzy evidence reasoning method for TBM construction of a hydraulic tunnel with the features of long distance passed through different geological conditions [5,11,31]. In this paper, the evaluation indices of construction safety-risk with the characteristics of TBM tunnel construction were first analyzed while an evaluation index system was built.…”

Section: Introductionmentioning

confidence: 99%

Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning

Zhang

Wang

et al. 2022

Processes

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Due to multiple factors influencing the construction safety of TBM hydraulic tunnels, risk assessment is a critical point of a construction management plan to avoid possible risks. In this paper, a safety-risk evaluation index system of TBM construction for hydraulic tunnels is built based on the identification and analysis of possible sources of risk in techniques, geologic, equipment, management, and accidents. Considering the influence of factors such as the experience level and the expertise of decision makers, a combination assignment method of index weights is proposed based on binary semantics. On the basis of a fuzzy normal distribution used as the subordinate function distribution of fuzzy evaluation levels, the subordinate function distribution of fuzzy evaluation levels under multi-level intersection situations is introduced, and a comprehensive evaluation model of safety risks for TBM tunnel construction is built. The validity and practicality of the evaluation model is examined with the combination of a long-distance water conveyance tunnel project. Results show that the construction safety-risk of the TBM hydraulic tunnel project belongs to the middle-high level, and the safety accident risk belongs to the low level. The study provides guidance of evaluation and control of risks for this tunneling construction being successfully completed.

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Statistics and construction methods for deep TBM tunnels with high geostress: A case study of Qinling Tunnel in Hanjiang-Weihe River Diversion Project

Cited by 17 publications

References 20 publications

Investigation on Disaster Mechanism of Diversion Tunnel Induced by Gripper TBM in Hydrokarst Erosion Stratum and Engineering Measures

Investigation on Disaster Mechanism of Diversion Tunnel Induced by Gripper TBM in Hydrokarst Erosion Stratum and Engineering Measures

Influence Analysis of Rock Mass Mechanical Properties on Tunnel Rock Stability Based on Sensor Data Integration

Safety-Risk Assessment for TBM Construction of Hydraulic Tunnel Based on Fuzzy Evidence Reasoning

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