Modeling Seepage Flow and Spatial Variability of Soil Thermal Conductivity during Artificial Ground Freezing for Tunnel Excavation

被引:13
|
作者
Qiu, Pu [1 ]
Li, Peitao [1 ]
Hu, Jun [2 ]
Liu, Yong [1 ]
机构
[1] Wuhan Univ, Inst Engn Risk & Disaster Prevent, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China
[2] Hainan Univ, Sch Civil Engn & Architecture, Haikou 570228, Hainan, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 14期
基金
中国国家自然科学基金;
关键词
artificial ground freezing; frozen wall; seepage flow; thermal conductivity; random field; HEAT-TRANSFER; FROZEN SOIL; PHASE-CHANGE; WATER-FLOW; CLAY; TRANSPORT; STRENGTH; OPTIMIZATION; DEFORMATION; TEMPERATURE;
D O I
10.3390/app11146275
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Artificial ground freezing (AGF) technology has been commonly applied in tunnel construction. Its primary goal is to create a frozen wall around the tunnel profile as a hydraulic barrier and temporary support, but it is inevitably affected by two natural factors. Firstly, seepage flows provide large and continuous heat energy to prevent the soil from freezing. Secondly, as a key soil parameter in heat transfer, the soil thermal conductivity shows inherent spatial variability, binging uncertainties in freezing effects and efficiency. However, few studies have explored the influence of spatially varied soil thermal conductivity on AGF. In this study, a coupled hydro-thermal numerical model was developed to examine the effects of seepage on the formation of frozen wall. The soil thermal conductivity is simulated as a lognormal random field and analyzed by groups of Monte-Carlo simulations. The results confirmed the adverse effect of groundwater flow on the formation of frozen wall, including the uneven development of frozen body towards the downstream side and the higher risk of water leakage on the upstream face of the tunnel. Based on random finite element analysis, this study quantitively tabulated the required additional freezing time above the deterministic scenario. Two levels of the additional freezing time are provided, namely the average level and conservative level, which aim to facilitate practitioners in making a rule-of-thumb estimation in the design of comparable situations. The findings can offer practitioners a rule of thumb for estimating the additional freezing times needed in artificial ground freezing, accounting for the seepage flow and spatial variation in soil thermal conductivity.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Heat transfer analysis in artificial ground freezing for subway cross passage under seepage flow
    Liu, Xin
    Nowamooz, Hossein
    Shen, Yupeng
    Liu, Yue
    Han, Yunxi
    An, Yuke
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2023, 133
  • [22] Artificial Ground Freezing to excavate a tunnel in sandy soil. Measurements and back analysis
    Russo, Gianpiero
    Corbo, Andrea
    Cavuoto, Filippo
    Autuori, Silvia
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2015, 50 : 226 - 238
  • [23] Modeling heat and mass transfer during ground freezing subjected to high seepage velocities
    Vitel, M.
    Rouabhi, A.
    Tijani, M.
    Guerin, F.
    COMPUTERS AND GEOTECHNICS, 2016, 73 : 1 - 15
  • [24] Study of thermal field of soil freezing in shallow covered tunnel with subsurface excavation passing through ground with thin aquifer under complex conduction
    Yuan Yun-hui
    Yang Ping
    Juang Tian-qian
    ROCK AND SOIL MECHANICS, 2010, 31 : 388 - 393
  • [25] Study of thermal field of soil freezing in shallow covered tunnel with subsurface excavation passing through ground with thin aquifer under complex conduction
    Yuan, Yun-Hui
    Yang, Ping
    Jiang, Tian-Qian
    Yantu Lixue/Rock and Soil Mechanics, 2010, 31 (SUPPL. 1): : 388 - 393
  • [26] Large-scale laboratory tests on artificial ground freezing under seepage-flow conditions
    Pimentel, E.
    Sres, A.
    Anagnostou, G.
    GEOTECHNIQUE, 2012, 62 (03): : 227 - 241
  • [27] Applying theory of artificial neural network to deformation prediction of ground deformation during tunnel excavation
    Wang, Sui-Hui
    Pan, Guo-Rong
    Tongji Daxue Xuebao/Journal of Tongji University, 2001, 29 (10): : 1147 - 1151
  • [28] Numerical simulation of the freezing process during artificial ground freezing applications subject to groundwater flow
    Baier, Ch.
    Ziegler, M.
    Mottaghy, D.
    Rath, V.
    BAUINGENIEUR, 2008, 83 : 49 - 60
  • [29] Determining the Thermal Conductivity of Clay during the Freezing Process by Artificial Neural Network
    Ren, Xiuling
    You, Yanhui
    Yu, Qihao
    Zhang, Guike
    Yue, Pan
    Jin, Mingyang
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2021, 2021
  • [30] Improved analytical prediction of ground frost heave during tunnel construction using artificial ground freezing technique
    Cai, Haibing
    Liu, Zheng
    Li, Sheng
    Zheng, Tenglong
    TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 2019, 92