[1]
Lin M., Zhou P., Jiang Y., et al., Numerical investigation on comprehensive control system of cooling and heat insulation for high geothermal tunnel: A case study on the highway tunnel with the highest temperature in China. International Journal of Thermal Sciences, 2022, 173: 107385.
[2]
Chen X., Zhou X., Zhong Z., et al., Study on temperature field and influencing factors of the high geothermal tunnel with extra-long one-end construction ventilation. International Journal of Thermal Sciences, 2023, 191: 108322.
[3]
Yi L., Qi J., Li X., et al., Geochemical characteristics and genesis of the high-temperature geothermal systems in the north section of the Sanjiang Orogenic belt in southeast Tibetan Plateau. Journal of Volcanology and Geothermal Research, 2021, 414: 107244.
[4]
Guo L., Wang G., Sheng Y., et al., Temperature governs the distribution of hot spring microbial community in three hydrothermal fields, Eastern Tibetan Plateau Geothermal Belt, Western China. Science of the Total Environment, 2020, 720: 137574.
[5]
Liu W., Guan L., Liu Y., et al., Fluid geochemistry and geothermal anomaly along the Yushu-Ganzi-Xianshuihe fault system, eastern Tibetan Plateau: Implications for regional seismic activity. Journal of Hydrology, 2022, 607: 127554.
[6]
Zhang D., Sun Z., Fang Q., Scientific problems and research proposals for Sichuan-Tibet railway tunnel construction. Underground Space, 2022, 7(3): 419–439.
[7]
Cui P., Ge Y., Li S., et al., Scientific challenges in disaster risk reduction for the Sichuan-Tibet Railway. Engineering Geology, 2022, 309: 106837.
[8]
Zhang G., Jiang Z., Chen J., et al., Study of the convection heat transfer law and temperature prediction of the duct in high-temperature tunnels. Case Studies in Thermal Engineering, 2022, 36: 102208.
[9]
Li X., Qi J., Yi L., et al., Hydrochemical characteristics and evolution of geothermal waters in the eastern Himalayan syntaxis geothermal field. Southern Tibet, Geothermics, 2021, 97: 102233.
[10]
Qi J., Xu M., An C., et al., Characterizations of geothermal springs along the Moxi deep fault in the western Sichuan plateau, China. Physics of the Earth and Planetary Interiors, 2017, 263: 12–22.
[11]
Zhang C., Huang R., Qin S., et al., The high-temperature geothermal resources in the Gonghe-Guide area, northeast Tibetan plateau: A comprehensive review. Geothermics, 2021, 97: 102264.
[12]
Tang X., Zhang J., Pang Z., et al., The eastern Tibetan Plateau geothermal belt, western China: Geology, geophysics, genesis, and hydrothermal system. Tectonophysics, 2017, 717: 433–448.
[13]
Zhou P., Feng Y., Zhou F., et al., Evaluation system of worker comfort for high geothermal tunnel during construction: A case study on the highway tunnel with the highest temperature in China. Tunnelling and Underground Space Technology, 2023, 135: 105028.
[14]
Gao J., Lu C., Zhang Y., Study on mechanism of effect of flowing water and transferring heat on rock mass temperature in curved fracture. Scientific Reports, 2023, 13(1): 2973.
[15]
Xiong F., Zhu C., Feng G., et al., A three-dimensional coupled thermo-hydro model for geothermal development in discrete fracture networks of hot dry rock reservoirs. Gondwana Research, 2022, 122: 331–347.
[16]
Wu Y.-S., Mukhopadhyay S., Zhang K., et al., A mountain-scale thermal-hydrologic model for simulating fluid flow and heat transfer in unsaturated fractured rock. Journal of Contaminant Hydrology, 2006, 86(1): 128–159.
[17]
Zhang W., Qu Z., Guo T., et al., Study of the enhanced geothermal system (EGS) heat mining from variably fractured hot dry rock under thermal stress. Renewable Energy, 2019, 143: 855–871.
[18]
Gao J., Shi Q., Study on number of geothermal wells based on flowing water and transferring heat in rock mass. Case Studies in Thermal Engineering, 2023, 41: 102668.
[19]
Chen Y., Zhao Z., Peng H., Convective heat transfer of water flow in intersected rock fractures for enhanced geothermal extraction. Journal of Rock Mechanics and Geotechnical Engineering, 2022, 14(1): 108–122.
[20]
Frank S., Heinze T., Pollak S., et al., Transient heat transfer processes in a single rock fracture at high flow rates. Geothermics, 2021, 89: 101989.
[21]
Liu G., Zhao Z., Chen Y., et al., Comparison between typical numerical models for fluid flow and heat transfer through single rock fractures. Computers and Geotechnics, 2021, 138: 104341.
[22]
Zhou R., Zhan H., Wang Y., On the role of rock matrix to heat transfer in a fracture-rock matrix system. Journal of Contaminant Hydrology, 2022, 245: 103950.
[23]
Heinze T., Hamidi S., Galvan B., A dynamic heat transfer coefficient between fractured rock and flowing fluid. Geothermics, 2017, 65: 10–16.
[24]
Abbasi M., Khazali M., Sharifi M., Analytical model for convection-conduction heat transfer during water injection in fractured geothermal reservoirs with variable rock matrix block size. Geothermics, 2017, 69: 1–14.
[25]
Liu G., Zhou C., Rao Z., Liao S., Impacts of fracture network geometries on numerical simulation and performance prediction of enhanced geothermal systems. Renewable Energy, 2021, 171: 492–504.
[26]
Luo Y., Xu W., Lei Y., et al., Experimental study of heat transfer by water flowing through smooth and rough rock fractures. Energy Reports, 2019, 5: 1025–1029.
[27]
Shu B., Zhu R., Elsworth D., et al., Effect of temperature and confining pressure on the evolution of hydraulic and heat transfer properties of geothermal fracture in granite. Applied Energy, 2020, 272: 115290.
[28]
Luo J., Zhu Y.Q., Guo Q.H., et al., Experimental investigation of the hydraulic and heat-transfer properties of artificially fractured granite. Scientific Reports, 2017, 7: 39882.
[29]
Yang H., Huang D., Yang X., et al., Analysis model for the excavation damage zone in surrounding rock mass of circular tunnel. Tunnelling and Underground Space Technology, 2013, 35: 78–88.
[30]
Liu B., Meng W., Zhao Z., et al., Coupled thermal-hydro-mechanical modeling on characteristics of excavation damage zone around deep tunnels crossing a major fault. Tunnelling and Underground Space Technology, 2023, 134: 105008.
[31]
Farahmand K., Diederichs M.S., Calibration of coupled hydro-mechanical properties of grain-based model for simulating fracture process and associated pore pressure evolution in excavation damage zone around deep tunnels. Journal of Rock Mechanics and Geotechnical Engineering, 2021, 13(1): 60–83.
[32]
Yang H.Q., Zeng Y.Y., Lan Y.F., et al., Analysis of the excavation damaged zone around a tunnel accounting for geostress and unloading. International Journal of Rock Mechanics and Mining Sciences, 2014, 69: 59–66.
[33]
Zhao Y., Liu Q., Zhang C., et al., Coupled seepage-damage effect in fractured rock masses: model development and a case study. International Journal of Rock Mechanics and Mining Sciences, 2021, 144: 104822.
[34]
Perras M.A., Diederichs M.S., Predicting excavation damage zone depths in brittle rocks. Journal of Rock Mechanics and Geotechnical Engineering, 2016, 8(1): 60–74.
[35]
Shi Z., Xu J., Xie X., et al., Failure mechanism analysis for tunnel construction crossing the water-rich dense fracture zones: A case study. Engineering Failure Analysis, 2023, 149: 107242.
[36]
Gottron D., Henk A., Upscaling of fractured rock mass properties—An example comparing Discrete Fracture Network (DFN) modeling and empirical relations based on engineering rock mass classifications. Engineering Geology, 2021, 294: 106382.
[37]
Wu M., Jiang C., Song R., et al., Comparative study on hydraulic fracturing using different discrete fracture network modeling: Insight from homogeneous to heterogeneity reservoirs. Engineering Fracture Mechanics, 2023, 284: 109274.
[38]
Huang N., Liu R., Jiang Y., et al., Development and application of three-dimensional discrete fracture network modeling approach for fluid flow in fractured rock masses. Journal of Natural Gas Science and Engineering, 2021, 91: 103957.
[39]
Wang Q., Zhang L., Yu Q., et al., Existence analysis of hydraulic conductivity representative elementary volume in fractured rocks based on three-dimensional discrete fracture network method. Computers and Geotechnics, 2023, 164: 105829.
[40]
Wang P., Ma C., Zhang B., et al., Development of an improved three-dimensional rough discrete fracture network model: Method and application. International Journal of Mining Science and Technology, 2023, 33(12): 1469–1485.
[41]
Hekmatnejad A., Crespin B., Opazo A., et al., Investigating the impact of the estimation error of fracture intensity (P32) on the evaluation of in-situ rock fragmentation and potential of blocks forming around tunnels. Tunnelling and Underground Space Technology, 2020, 106: 103596.
[42]
Lei Q., Latham J.-P., Tsang C.-F., The use of discrete fracture networks for modelling coupled geomechanical and hydrological behaviour of fractured rocks. Computers and Geotechnics, 2017, 85: 151–176.
[43]
Smeraglia L., Mercuri M., Tavani S., et al., 3D Discrete Fracture Network (DFN) models of damage zone fluid corridors within a reservoir-scale normal fault in carbonates: Multiscale approach using field data and UAV imagery. Marine and Petroleum Geology, 2021, 126: 104902.
[44]
Sanderson D.J., Nixon C.W., The use of topology in fracture network characterization. Journal of Structural Geology, 2015, 72: 55–66.
[45]
Li S., Feng X.T., Li Z., et al., Evolution of fractures in the excavation damaged zone of a deeply buried tunnel during TBM construction. International Journal of Rock Mechanics and Mining Sciences, 2012, 55: 125–138.
[46]
He X., Sinan M., Kwak H., et al., A corrected cubic law for single-phase laminar flow through rough-walled fractures. Advances in Water Resources, 2021, 154: 103984.
[47]
Pan J., Xi X., Wu X., et al., Physical properties evolution and microscopic mechanisms of granite modified by thermal and chemical stimulation. Case Studies in Thermal Engineering, 2023, 41: 102633.
[48]
Yao C., Shao Y., Yang J., et al., Effects of fracture density, roughness, and percolation of fracture network on heat-flow coupling in hot rock masses with embedded three-dimensional fracture network. Geothermics, 2020, 87: 101846.
[49]
Kang F., Li Y., Tang C.A., Numerical study on airflow temperature field in a high-temperature tunnel with insulation layer. Applied Thermal Engineering, 2020, 179: 115654.
[50]
Zhao K., Yuan Y., Jiang F., et al., Numerical investigation on temperature-humidity field under mechanical ventilation in the construction period of hot-humid tunnel along the Sichuan-Tibet Railway. Underground Space, 2023, 8: 123–143.
[51]
Guo P., Su Y., Pang D., et al., Numerical study on heat transfer between airflow and surrounding rock with two major ventilation models in deep coal mine. Arabian Journal of Geosciences, 2020, 13(16): 756.
[52]
Li Z.-W., Huang C.-Y., Wang H.-X., et al., Determination of heat transfer representative element volume and three-dimensional thermal conductivity tensor of fractured rock masses. International Journal of Rock Mechanics and Mining Sciences, 2023, 170: 105528.
[53]
Li Z.-W., Liu Y., Mei S.-M., et al., Effective thermal conductivity estimation of fractured rock masses. Rock Mechanics and Rock Engineering, 2021, 54(12): 6191–6206.
[54]
Huang Y., Zhang Y., Yu Z., et al., Experimental investigation of seepage and heat transfer in rough fractures for enhanced geothermal systems. Renewable Energy, 2019, 135: 846–855.
[55]
Ishibashi T., Fang Y., Elsworth D., et al., Hydromechanical properties of 3D printed fractures with controlled surface roughness: Insights into shear-permeability coupling processes. International Journal of Rock Mechanics and Mining Sciences, 2020, 128: 104271.
[56]
Guo H., Aziz N.I., Schmidt L.C., Rock fracture-toughness determination by the Brazilian test. Engineering Geology, 1993, 33(3): 177–188.
[57]
Huang X., Zhu J., Li J., et al., Fluid friction and heat transfer through a single rough fracture in granitic rock under confining pressure. International Communications in Heat and Mass Transfer, 2016, 75: 78–85.
[58]
Dai F., Chen R., Iqbal M.J., et al., Dynamic cracked chevron notched Brazilian disc method for measuring rock fracture parameters. International Journal of Rock Mechanics and Mining Sciences, 2010, 47(4): 606–613.
[59]
Morelli G.L., Estimating the volumetric fracture intensity p32 through a new analytical approach. Rock Mechanics and Rock Engineering, 2024, 57: 6085–6103.
[60]
Wang X., Cai M., A DFN-DEM multi-scale modeling approach for simulating tunnel excavation response in jointed rock masses. Rock Mechanics and Rock Engineering, 2020, 53(3): 1053–1077.
[61]
Vazaios I., Vlachopoulos N., Diederichs M.S., Assessing fracturing mechanisms and evolution of excavation damaged zone of tunnels in interlocked rock masses at high stresses using a finite-discrete element approach. Journal of Rock Mechanics and Geotechnical Engineering, 2019, 11(4): 701–722.
[62]
Zhan L., Hu Y., Zou L., et al., Effects of multiscale heterogeneity on transport in three-dimensional fractured porous rock with a rough-walled fracture network. Computers and Geotechnics, 2022, 148: 104836.
[63]
Xu W., Zhang Y., Li X., et al., Extraction and statistics of discontinuity orientation and trace length from typical fractured rock mass: A case study of the Xinchang underground research laboratory site, China. Engineering Geology, 2020, 269: 105553.
