Abstract
Due to the dense construction of underground projects in urban areas, nearby activities like foundation pit excavation can cause subsidence in the shield tunnel, posing a safety risk to subway operations. This paper proposes an optimization method using combination weighting and grey correlation degree for the Xi’an under highway tunnel project. It conducts numerical simulations of the original scheme using ABAQUS and selects calculation parameters, then optimizes anti-floating structure parameters through orthogonal experiments. The optimized operating conditions were compared with the original ones to validate the optimization results. These findings serve as valuable references for tackling real-world engineering challenges.
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References
Chang C, Sun C, Duann S, Hwang R (2001) Response of a taipei rapid transit system (TRTS) tunnel to adjacent excavation. Tunnelling and Underground Space Technology 16(3):151–158
Chen X (2018) Research on combined construction technology for cross-subway tunnels in underground spaces. Engineering 4(1):103–111, DOI: https://doi.org/10.1016/j.eng.2017.08.001
Chen W, Jiang X, Li X, Gao J, Xu X, Ding S (2013) Wireless sensor network nodes correlation method in coal mine tunnel based on Bayesian decision. Measurement 46(8):2335–2340, DOI: https://doi.org/10.1016/j.measurement.2013.04.018
Chen R, Tang L, Ling D, Chen Y (2011) Face stability analysis of shallow shield tunnels in dry sandy ground using the discrete element method. Computers and Geotechnics 38(2):187–195, DOI: https://doi.org/10.1016/j.compgeo.2010.11.003
Chen C, Zhang L, Tiong RLK (2020) A novel learning cloud bayesian network for risk measurement. Applied Soft Computing 87:105947, DOI: https://doi.org/10.1016/j.asoc.2019.105947
Cheng W, Song Z, Tian W, Wang Z (2018) Shield tunnel uplift and deformation characterisation: A case study from Zhengzhou metro. Tunnelling and Underground Space Technology 79:83–95, DOI: https://doi.org/10.1016/j.tust.2018.05.002
Dai X, Cai J, Diao Y, Hou H, Xu G (2021) Influence of tunnelling on the deformation of the overlying excavation bracing system and analysis of countermeasures. Computers and Geotechnics 134:104089, DOI: https://doi.org/10.1016/j.compgeo.2021.104089
Di Q, Li P, Zhang M, Cui X (2023) Experimental investigation of face instability for tunnels in sandy cobble strata. Underground Space 10:199���216, DOI: https://doi.org/10.1016/j.undsp.2022.10.004
Ding X, Huang Q, Zhu H, Hu H, Liu Z (2017) Subway tunnel disease associations mining based on fault tree analysis algorithm. Mathematical Problems in Engineering 2017:2621493, DOI: https://doi.org/10.1155/2017/2621493
Doležalová M (2001) Tunnel complex unloaded by a deep excavation. Computers and Geotechnics 28(6–7):469–493
Franza A, Zheng C, Marshall AM, Jimenez R (2021) Investigation of soil-pile-structure interaction induced by vertical loads and tunnelling. Computers and Geotechnics 139:104386, DOI: https://doi.org/10.1016/j.compgeo.2021.104386
Fu L, Wang X, Zhao H, Li M (2022) Interactions among safety risks in metro deep foundation pit projects: An association rule mining-based modeling framework. Reliability Engineering & System Safety, 221:108381, DOI: https://doi.org/10.1016/j.ress.2022.108381
Gan X, Yu J, Gong X, Hou Y, Liu N, Zhu M (2022) Response of operating metro tunnels to compensation grouting of an underlying large-diameter shield tunnel: A case study in Hangzhou. Underground Space 7(2):219–232, DOI: https://doi.org/10.1016/j.undsp.2021.07.006
Gorr WL, Nagin D, Szczypula J (1994) Comparative study of artificial neural network and statistical models for predicting student grade point averages. International Journal of Forecasting 10(1):17–34
Gu X, Chen F, Zhang W, Wang Q, Liu H (2022) Numerical investigation of pile responses induced by adjacent tunnel excavation in spatially variable clays. Underground Space 7(5):911–927, DOI: https://doi.org/10.1016/j.undsp.2021.09.003
Hong C, Luo G, Chen W (2022) Safety analysis of a deep foundation ditch using deep learning methods. Gondwana Research
Hou L, Zhang Q, Du Y (2024) Width estimation of hidden cracks in tunnel lining based on time-frequency analysis of GPR data and back propagation neural network optimized by genetic algorithm. Automation in Construction 162:105394, DOI: https://doi.org/10.1016/j.autcon.2024.105394
Hu Y, Liao X, Zhai Y (2015) Research on the classification of surrounding rock quality in the Longyou Grottoes based on the DS evidence theory//Ancient Underground Opening and Preservation. CRC Press, 75–82
Huang A, Wang D, Wang Z (2006) Rebound effects of running tunnels underneath an excavation. Tunnelling and Underground Space Technology 21(3-4)
Huang F, Zhang M, Wang F, Ling T, Yang X (2020) The failure mechanism of surrounding rock around an existing shield tunnel induced by an adjacent excavation. Computers and Geotechnics 117:103236, DOI: https://doi.org/10.1016/j.compgeo.2019.103236
Hyun K C, Min S, Choi H, Park J, Lee I (2015) Risk analysis using fault-tree analysis (FTA) and analytic hierarchy process (AHP) applicable to shield TBM tunnels. Tunnelling and Underground Space Technology 49:121–129, DOI: https://doi.org/10.1016/j.tust.2015.04.007
Ilbahar E, Karaşan A, Cebi S, Kahraman C (2018) A novel approach to risk assessment for occupational health and safety using Pythagorean fuzzy AHP & fuzzy inference system. Safety Science 103:124–136, DOI: https://doi.org/10.1016/j.ssci.2017.10.025
Kim J, Kim C, Kim G, Kim I, Abbas Q, Lee J (2022) Probabilistic tunnel collapse risk evaluation model using analytical hierarchy process (AHP) and Delphi survey technique. Tunnelling and Underground Space Technology 120:104262, DOI: https://doi.org/10.1016/j.tust.2021.104262
Kou H, Guo W, Zhang M (2015) Pullout performance of GFRP antifloating anchor in weathered soil. Tunnelling and Underground Space Technology 49:408–416. DOI: https://doi.org/10.1016/j.tust.2015.06.001
Li S, Chan T, Young B (2022) Behavior of GFRP-concrete double tube composite columns. Thin-Walled Structures 178:109490, DOI: https://doi.org/10.1016/j.tws.2022.109490
Li Z, Lai J, Wang M, Qiu J, Zan W (2024a) Collapse mechanism and treatments of a deep tunnel in the weathered granite fault zone. Tunnelling and Underground Space Technology
Li D, Lou X, Yang M (2012) Research and application of calculation methods for rebound deformation of foundation pits. Chinese Journal of Rock Mechanics and Engineering 31(9):1921–1927
Li Z, Ma E, Lai J, Su X (2024b) Tunnel deformation prediction during construction: An explainable hybrid model considering temporal and static factors. Computers and Structures, DOI: https://doi.org/10.1016/j.compstruc.2024.107276
Li M, Zhang Z, Chen J, Wang J, Xu A (2017) Zoned and staged construction of an underground complex in Shanghai soft clay. Tunnelling and Underground Space Technology 67:187–200, DOI: https://doi.org/10.1016/j.tust.2017.04.016
Liu X, Jiang A, Fang Q, Wan Y, Li J, Gou X (2022) Spatiotemporal deformation of existing pipeline due to new shield tunnelling parallel beneath considering construction process. Applied Sciences 12(1):500, DOI: https://doi.org/10.3390/app12010500
Liu W, Zhai S, Liu W (2019) Predictive analysis of settlement risk in tunnel construction: A bow-tie-bayesian network approach. Advances in Civil Engineering 2019:2045125, DOI: https://doi.org/10.1155/2019/2045125
Liu C, Zhang Z, Regueiro RA (2014) Pile and pile group response to tunnelling using a large diameter slurry shield-Case study in Shanghai. Computers and Geotechnics 59:21–43, DOI: https://doi.org/10.1016/j.compgeo.2014.03.006
Liu B, Zhang D, Yang C, Zhang Q (2020) Long-term performance of metro tunnels induced by adjacent large deep excavation and protective measures in Nanjing silty clay. Tunnelling and Underground Space Technology 95:103147, DOI: https://doi.org/10.1016/j.tust.2019.103147
Lyu H, Shen S, Zhou A, Yang J (2020) Risk assessment of mega-city infrastructures related to land subsidence using improved trapezoidal FAHP. Science of the Total Environment 717:135310, DOI: https://doi.org/10.1016/j.dib.2019.105007
Mao J, Yuan D, Jin D, Zeng J (2020) Optimization and application of backfill grouting material for submarine tunnel. Construction and Building Materials 265:120281, DOI: https://doi.org/10.1016/j.conbuildmat.2020.120281
Mirhedayatian M, Jelodar MJ, Adnani S, Mohammad A, Reza FS (2013) A new approach for prioritization in fuzzy AHP with an application for selecting the best tunnel ventilation system. The International Journal of Advanced Manufacturing Technology 68:2589–2599, DOI: https://doi.org/10.1007/s00170-013-4856-6
Ou G, Jiao Y, Zhang G, Zou J, Tan F, Zhang W (2021) Collapse risk assessment of deep-buried tunnel during construction and its application. Tunnelling and Underground Space Technology 115: 104019, DOI: https://doi.org/10.1016/j.tust.2021.104019
Qin Y, Chen Y, Lai J (2024) Failures in loess slope-tunnel system: An overview of trigging sources, acting mechanism and mitigation strategies. Engineering Failure Analysis 158:107996, DOI: https://doi.org/10.1016/j.engfailanal.2024.107996
Shuan C, Huaina WU, Renpeng C, Shen S, Liu Y (2021) Deformation of a collinear tunnel induced by overlying long-distance excavation. Journal of Shanghai Jiaotong University 55(6):698
Su M, Wang P, Xue Y, Qiu D, Li Z, Xia T, Li J (2019) Prediction of risk in submarine tunnel construction by multi-factor analysis: A collapse prediction model. Marine Georesources & Geotechnology 37(9): 1119–1129, DOI: https://doi.org/10.1080/1064119X.2018.1535635
Su X, Zhang C, Zou Z (2024) Influence of water rock interaction on stability of tunnel engineering. Polish Journal of Environmental Studies
Tang K, Liu D, Xie S, Qiu J, Lai J, Liu T, Fang Y (2024) Analysis of loess water migration regularity and failure response of tunnel structure under rainfall environment. Bulletin of Engineering Geology and the Environment 83:251, DOI: https://doi.org/10.1007/s10064-024-03715-9
Tao Y, Rao J (2022) Construction analysis of Guiyang Metro passing across Guiyang Railway Station in karst zone. Tunnelling and Underground Space Technology 126:104541, DOI: https://doi.org/10.1016/j.tust.2022.104541
Wang J, Li E, Chen L, Wang J, Tan Y, Duan J (2019) Measurement and analysis of the internal displacement and spatial effect due to tunnel excavation in hard rock. Tunnelling and Underground Space Technology 84:151–165, DOI: https://doi.org/10.1016/j.tust.2018.11.001
Wang Y, Wu Z, Zheng J, Zhou X (2019) Three-dimensional analytical model for the pull-out response of anchor-mortar-concrete anchorage system based on interfacial bond failure. Engineering Structures 180:234–248, DOI: https://doi.org/10.1016/j.engstruct.2018.11.024
Wang Y, Yin X, Jing H, Liu R, Su H (2016) A novel cloud model for risk analysis of water inrush in karst tunnels. Environmental Earth Sciences 75:1–13, DOI: https://doi.org/10.1007/s12665-016-6260-7
Wei D, Xu D, Zhang Y (2020) A fuzzy evidential reasoning-based approach for risk assessment of deep foundation pit. Tunnelling and Underground Space Technology 97:103232, DOI: https://doi.org/10.1016/j.tust.2019.103232
Wu H, Zhang P, Chen R, Lin X (2020) Ground response to horizontal spoil discharge jet grouting with impacts on the existing tunnels. Journal of Geotechnical and Geoenvironmental Engineering 146(7): 05020006, DOI: https://doi.org/10.1061/(ASCE)GT.1943-5606.0002287
Ye F, Zhu H, Ding W (2007) Analysis on anti-buoyancy calculation in excavation of big cross-section shield tunnel. Chinese Journal of Underground Space and Engineering 3(5):849–853
Yin Z, Zhang X, Li X, Zhang J, Zhang Q (2022) Modified burgers model of creep behavior of grouting-reinforced body and its longterm effect on tunnel operation. Tunnelling and Underground Space Technology 127:104537, DOI: https://doi.org/10.1016/j.tust.2022.104537
Zan W, Lai J, Zhang W, Yang Q, Qin Y, Su X (2024) Experimental and applied research on similar materials to granular mixtures for the solid-liquid coupling model test of an underwater tunnel. Construction and Building Materials 416:135170, DOI: https://doi.org/10.1016/j.conbuildmat.2024.135170
Zhang J, Chen J, Wang J, Zhu Y (2013) Prediction of tunnel displacement induced by adjacent excavation in soft soil. Tunnelling and Underground Space Technology 36:24–33, DOI: https://doi.org/10.1016/j.tust.2013.01.011
Zhang Y, Liu L, Song Z, Zhao Y, He S (2024) Enhancing tunnel boring machine penetration rate predictions through particle swarm optimization and elman neural networks. Journal of Construction Engineering and Management
Zhang Z, Song Z, Lai J, Qiu J, Cheng Y, Zhang J (2024) Critical slowing down precursor information for the acoustic emission response characteristics of defective tuffs. Theoretical and Applied Fracture Mechanics 129:104220, DOI: https://doi.org/10.1016/j.tafmec.2023.104220
Zhao T, Han T, Wu G, Gao Y, Lu Y (2021) Effects of grouting in reducing excessive tunnel lining deformation: Field experiment and numerical modelling using material point method. Tunnelling and Underground Space Technology 116:104114, DOI: https://doi.org/10.1016/j.tust.2021.104114
Zhao Z, Sun H, Zhang N, Xing T, Cui G, Lai J, Liu T, Bai Y, He H (2024) Application of unmanned aerial vehicle tilt photography technology in geological hazard investigation in China. Natural Hazards, DOI: https://doi.org/10.1007/s11069-024-06611-3
Zhao X, Zhang C, Ju Y, Li J, Bian Y, Ma J (2021) Evaluation of tunnel retro-reflective arch in an extra-long tunnel based on the matter-element extension method. Accident Analysis & Prevention 150:105913, DOI: https://doi.org/10.1016/j.aap.2020.105913
Zhou J, Xu W, Guo X, Liu X (2017) A hierarchical network modeling method for railway tunnels safety assessment. Physica A: Statistical Mechanics and Its Applications 467:226–239, DOI: https://doi.org/10.1016/j.physa.2016.10.026
Acknowledgments
This work was jointly supported by the Key R&D Plan of Shaanxi Province (No. 2023-YBSF-511), the Construction Science and Technology Project of Xi’an (No. SZJJ2019-23). We also acknowledge the editor for the valuable suggestion.
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Li, J., Li, W., Xu, Z. et al. Response Characteristics and Anti-floating Structure Optimization Analysis of Metro Tunnel in Water Rich Stratum. KSCE J Civ Eng (2024). https://doi.org/10.1007/s12205-024-1398-4
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DOI: https://doi.org/10.1007/s12205-024-1398-4