Analysis of Water and Mud Inrush in Tunnel Fault Fracture Zone—A Case Study of Yonglian Tunnel
Abstract
:1. Introduction
2. General Description of Yonglian Tunnel Project
2.1. Topography
2.2. Stratigraphic Structure and Lithologic Characteristics
2.3. Geological Structure
2.4. Hydrogeology
3. Water and Mud Inrush in F2 Fault
3.1. Water and Mud Inrush in Left Tunnel of the Entrance
3.2. Water and Mud Inrush in Right Tunnel of the Entrance
3.3. Subsidence Collapse of the Surface Hilltop
4. Occurrence Mechanism Analysis of Water and Mud Inrush in F2 Fault
4.1. Generation Conditions of Water and Mud Inrush
4.2. Evolution Mechanism of Water and Mud Inrush
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Li, S.C.; Liu, R.T.; Zhang, Q.S.; Zhang, X. Protection against water or mud inrush in tunnels by grouting: A review. J. Rock Mech. Geotech. Eng. 2016, 8, 753–766. [Google Scholar] [CrossRef] [Green Version]
- Wu, Y.Q.; Wang, K.; Zhang, L.Z.; Peng, S.H. Sand-layer collapse treatment: An engineering example from Qingdao Metro subway tunnel. J. Clean. Prod. 2018, 197, 19–24. [Google Scholar] [CrossRef]
- Zhou, W.F.; Liao, S.M. The analysis and control of inrush and mud gushing in the broken rock tunnel under high water pressure. Procedia Eng. 2016, 165, 259–264. [Google Scholar] [CrossRef]
- Zhao, Y.; Li, P.F.; Tian, S.M. Prevention and treatment technologies of railway tunnel water inrush and mud gushing in China. J. Rock Mech. Geotech. Eng. 2013, 5, 468–477. [Google Scholar] [CrossRef] [Green Version]
- Li, X.Z.; Zhang, P.X.; He, Z.C.; Huang, Z.; Cheng, M.L.; Guo, L. Identification of geological structure which induced heavy water and mud inrush in tunnel excavation: A case study on Lingjiao Tunnel. Tunn. Undergr. Space Technol. 2017, 69, 203–208. [Google Scholar] [CrossRef]
- Yang, W.M.; Wang, M.X.; Zhou, Z.Q.; Li, L.P.; Yuan, Y.C.; Gao, C.L. A true triaxial geomechanical model test apparatus for studying the precursory information of water inrush from impermeable rock mass failure. Tunn. Undergr. Space Technol. 2019, 93, 103078. [Google Scholar] [CrossRef]
- Zhang, Q.S.; Wang, D.M.; Li, S.C.; Zhang, X.; Tan, Y.H.; Wang, K. Development and application of model test system for inrush of water and mud of tunnel in fault rupture zone. Chin. J. Geotech. Eng. 2017, 39, 417–426. [Google Scholar]
- Yang, W.F.; Jin, L.; Zhang, X.Q. Simulation test on mixed water and sand inrush disaster induced by mining under the thin bedrock. J. Loss Prevent. Proc. 2019, 57, 1–6. [Google Scholar] [CrossRef]
- Shi, L.Q.; Singh, R.N. Study of mine water in rush from floor strata through faults. Mine Water Environ. 2001, 20, 140–147. [Google Scholar] [CrossRef]
- Li, S.C.; Wang, J.; Li, L.P.; Shi, S.S.; Zhou, Z.Q. The theoretical and numerical analysis of water inrush through filling structures. Math. Comput. Simulat. 2019, 162, 115–134. [Google Scholar] [CrossRef]
- Wu, J.; Li, S.C.; Xu, Z.H.; Zhao, J. Determination of required rock thickness to resist water and mud inrush from karst caves under earthquake action. Tunn. Undergr. Space Technol. 2019, 85, 43–55. [Google Scholar] [CrossRef]
- Zhang, X.; Sanderson, D.J.; Barker, A.J. Numerical study of fluid flow of deforming fractured rocks using dual permeability model. Geophys. J. Int. 2002, 151, 452–468. [Google Scholar] [CrossRef] [Green Version]
- Lin, C.J.; Zhang, M.; Zhou, Z.Q.; Li, L.P.; Shi, S.S.; Chen, Y.X.; Dai, W.J. A new quantitative method for risk assessment of water inrush in karst tunnels based on variable weight function and improved cloud model. Tunn. Undergr. Space Technol. 2020, 95, 103136. [Google Scholar] [CrossRef]
- Bukowski, P. Water hazard assessment in active shafts in upper Silesian Coal Basin mines. Mine Water Environ. 2011, 30, 302–311. [Google Scholar] [CrossRef] [Green Version]
- Zarei, H.R.; Uromeihy, A.; Sharifzadeh, M. Evaluation of high local groundwater inflow to a rock tunnel by characterization of geological features. Tunn. Undergr. Space Technol. 2011, 26, 364–373. [Google Scholar] [CrossRef]
- Islam, M.; Islam, M. Water inrush hazard in Barapukuria coal mine, Dinajpur District, Bangladesh. Bangladesh J. Geol. 2005, 24, 1–17. [Google Scholar]
- Song, K.I.; Cho, G.C.; Chang, S.B. Identification, remediation, and analysis of karst sinkholes in the longest railroad tunnel in South Korea. Eng. Geol. 2012, 135–136, 92–105. [Google Scholar] [CrossRef]
- Lin, G.; Song, R. Research on the mechanism and treatment technology of mud gushing in karst tunnel. Tunnel Constr. 2012, 32, 169–174. (In Chinese) [Google Scholar]
- Chen, T.Y. Study on Regional Seepage Field of Natm Tunnel and Model Tests of Catastrophe Occurance in Debris Flow Strata; Southwest Jiaotong University: Chengdu, China, 2010. [Google Scholar]
- Shahri, A.A.; Larsson, S.; Renkel, C. Artificial intelligence models to generate visualized bedrock level: A case study in Sweden. Model. Earth Syst. Environ. 2020, 6, 1509–1528. [Google Scholar] [CrossRef]
- Pfaffhuber, A.A.; Grimstad, E.; Domaas, U.; Auken, E.; Foged, N.; Halkjær, M. Airborne EM mapping of rockslides and tunneling hazards. Lead. Edge 2010, 29, 956–959. [Google Scholar] [CrossRef]
- Ma, D.; Cai, X.; Li, Q.; Duan, H. In-situ and numerical investigation of groundwater inrush hazard from grouted karst collapse pillar in longwall mining. Water 2018, 10, 1187. [Google Scholar] [CrossRef] [Green Version]
- Yau, K.; Paraskevopoulou, C.; Konstantis, S. Spatial variability of karst and effect on tunnel lining and water inflow. A probabilistic approach. Tunn. Undergr. Space Technol. 2020, 97, 103248. [Google Scholar] [CrossRef]
- Shahri, A.A.; Kheiri, A.; Hamzeh, A. Subsurface topographic modeling using geospatial and data driven algorithm. ISPRS Int. J. Geo-Inf. 2021, 10, 341. [Google Scholar] [CrossRef]
- Shahri, A.A.; Asheghi, R.; Zak, M.K. A hybridized intelligence model to improve the predictability level of strength index parameters of rocks. Neural Comput. Appl. 2021, 33, 3841–3854. [Google Scholar] [CrossRef]
- Asheghi, R.; Hosseini, S.A.; Saneie, M.; Shahri, A.A. Updating the neural network sediment load models using different sensitivity analysis methods: A regional application. J. Hydroinform. 2020, 22, 562–577. [Google Scholar] [CrossRef] [Green Version]
Time | Sequence | Description | Volume of Mixture of Water and Mud (m3) | Volume of Mud (m3) |
---|---|---|---|---|
11:30 p.m. on 7/2/2012 | 1st | Water and mud inrush | 2000 | 600 |
4:20 a.m. on 7/3 | 2nd | Water and mud inrush | 5000 | 1200 |
10:50 a.m. on 7/3 | 3rd | Water and mud inrush | 30,000 | 3000 |
Afternoon on 7/15 | 4th | Mud inrush | 1100 | 1100 |
2:30 p.m. on 7/24 | 5th | Mud inrush | 4000 | 4000 |
8/13, 8/15 and 8/19 | 6th–8th | Mud inrush | 4200 | 4200 |
unknown | 3000 m3 mud gushing out during imperceptible period | 3000 | 3000 | |
11 a.m. on 9/19 | After cleaning of accumulated silt, the team backfilled sag at the face and sealed the outlet. | |||
Sum | 8 times | 49,300 | 17,100 |
Time | Sequence | Description | Volume of Mixture of Water and Mud (m3) | Volume of Mud (m3) |
---|---|---|---|---|
Afternoon on 7/15/2012 | Water flow occurred in vault at YK91 + 385. The position (365–380) deformed at 3–10 cm/d | |||
8/12 | 1st | Water and mud inrush | 1100 | 600 |
11 a.m. on 9/19 | 2nd | Water and mud inrush | 3000 | 2100 |
4 p.m. on 9/23 | 3th | Mud inrush | 4200 | 4200 |
9/29 | Surface collapse at the hill top | |||
10/1 | 4th and 5th | Mud inrush | 2200 | 2200 |
10/7 | 6th | Mud inrush | 4900 | 4900 |
10/25 | 7th | Mud inrush | 8500 | 8500 |
Sum | 7 times | 23,900 | 22,500 |
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Liu, J.; Li, Z.; Zhang, X.; Weng, X. Analysis of Water and Mud Inrush in Tunnel Fault Fracture Zone—A Case Study of Yonglian Tunnel. Sustainability 2021, 13, 9585. https://doi.org/10.3390/su13179585
Liu J, Li Z, Zhang X, Weng X. Analysis of Water and Mud Inrush in Tunnel Fault Fracture Zone—A Case Study of Yonglian Tunnel. Sustainability. 2021; 13(17):9585. https://doi.org/10.3390/su13179585
Chicago/Turabian StyleLiu, Jun, Zhipeng Li, Xiao Zhang, and Xianjie Weng. 2021. "Analysis of Water and Mud Inrush in Tunnel Fault Fracture Zone—A Case Study of Yonglian Tunnel" Sustainability 13, no. 17: 9585. https://doi.org/10.3390/su13179585
APA StyleLiu, J., Li, Z., Zhang, X., & Weng, X. (2021). Analysis of Water and Mud Inrush in Tunnel Fault Fracture Zone—A Case Study of Yonglian Tunnel. Sustainability, 13(17), 9585. https://doi.org/10.3390/su13179585