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浙江大学学报(工学版)
Journal of ZheJiang University (Engineering Science)  2021, Vol. 55 Issue (12): 2234-2242    DOI: 10.3785/j.issn.1008-973X.2021.12.002
    
Algorithm for predicting slurry penetration distance in front of slurry shield tunnel face
Xin-sheng YIN1(),Yan-hua ZHU2,Gang WEI1,2,*(),Zhi DING1,Yun-liang CUI1
1. College of Engineering, Zhejiang University City College, Hangzhou 310015, China
2. College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China
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Abstract  

An improved model was proposed based on the existing slurry penetration calculation model, and the penetration distances of different slurry were analyzed, in order to calculate the distance of slurry penetration into the stratum before slurry shield tunnel face. Results showed that the maximum precision of the improved model was 6%, higher than that of Xu model when the infiltration time was less than 20 s, and no infiltration column tests are required. Without considering the filter cake, the maximum penetration distance of the pure bentonite slurry was 5.8-6.3 m. The maximum penetration distance of bentonite slurry with the polymer materials was 0.3-1.6 m, which was 5-25% of pure bentonite slurry. Sodium carboxymethyl cellulose has the best modification effect on slurry. The formation time of low-permeable filter cake was 3.2-5.0 s. The correction factor for the improved model was 0.72-0.92, which is obtained with consideration of the filter cake. Predicting the penetration distance of commonly used slurry, the penetration distance at 10 s of the shield cutter passing cycle was 2.3-6.3 cm, and the maximum penetration distance was 1.05% of the general shield diameter (6 m).

Key words： slurry shield      slurry formula      infiltration column test      filter cake     
Received: 09 March 2021      Published: 31 December 2021
CLC:  U 455.43  
Fund:  国家自然科学基金资助项目（51808493）；浙江省自然科学基金资助项目（LY21E080004，LHZ20E080001）；杭州市科委农业与社会发展一般项目（20201203B125）；浙江省公益技术研究计划项目（LGF20E080007）；杭州市农业与社会发展一般科研项目（2020ZDSJ0639）
Corresponding Authors: Gang WEI     E-mail: yinxs@zucc.edu.cn;weig@zucc.edu.cn
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Xin-sheng YIN
Yan-hua ZHU
Gang WEI
Zhi DING
Yun-liang CUI
Cite this article:

Xin-sheng YIN,Yan-hua ZHU,Gang WEI,Zhi DING,Yun-liang CUI. Algorithm for predicting slurry penetration distance in front of slurry shield tunnel face. Journal of ZheJiang University (Engineering Science), 2021, 55(12): 2234-2242.

URL:

https://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2021.12.002     OR     https://www.zjujournals.com/eng/Y2021/V55/I12/2234


泥水盾构开挖面前泥浆渗透距离预测算法

为了计算泥水盾构开挖面前泥浆渗透地层的距离，基于泥浆渗透不伴生泥膜的假设，提出改进模型来分析不同泥浆的渗透距离. 结果表明：在泥浆渗透时间小于20 s的情况下，与Xu模型相比，改进模型的最大精度提高6%，且无须泥浆渗透试验. 在不考虑泥膜的情况下，纯膨润土泥浆的最大渗透距离为5.8~6.3 m；添加高分子材料的膨润土泥浆最大渗透距离为0.3~1.6 m，是纯膨润土泥浆的5%~25%；羧甲基纤维素钠对泥浆的改性效果最好. 微透水泥膜的形成时间为3.2~5.0 s. 考虑泥浆渗透伴生泥膜的情况，得到改进模型的修正系数为0.72~0.92. 预测常用的泥浆渗透距离，当盾构刀盘切削周期为10 s时，泥浆渗透距离为2.3~6.3 cm，最大的渗透距离是一般盾构直径（6 m）的1.05%.


关键词： 泥水盾构,  泥浆配方,  渗透试验,  泥膜 
Fig.1 Slurry infiltration and filter cake
Fig.2 Flow chart of solving slurry penetration distance
泥浆型号 ${\tau _{\rm{y}}}{\rm{/Pa}}$ $ L{\rm{/m}}$ ${k_{\rm{b}}}{\rm{/(1} }{ {\rm{0} }^{ {\rm{ - 5} } } }{\rm{ m} } \cdot { {\rm{s} }^{ - 1} }{\rm{)} }$ ${k'_{\rm{b}}}{\rm{/(1} }{ {\rm{0} }^{ {\rm{ - 5} } } }{\rm{ m} } \cdot { {\rm{s} }^{ - 1} }{\rm{)} }$
Con_40 0.50 1.563 $ {\text{8}}{\text{.0}} $ $ {\text{7}}{\text{.5}} $
Con_50 0.87 1.042 $ {\text{5}}{\text{.0}} $ $ {\text{4}}{\text{.5}} $
Con_60 2.00 0.434 $ {\rm{4}}{\rm{.0}}$ $ {\rm{4}}{\rm{.0}}$
Tab.1 Test parameters of infiltration column
Fig.3 Comparison between penetration distance of modle calculation and theoretical maximum penetration distance
Fig.4 Specimens of filter cake
Fig.5 Schematic diagram of cutterhead cutting soil
Fig.6 Comparison between penetration distance of model calculation and measured penetration distance
泥浆型号 ρB/（g·L?1） 材料 Mr C/% μ / （mPa·s） μ r /s μ m /s ρ/ （g·cm?3） τy/Pa L/m $k'_{\rm{b}} $/（m·s?1）
SL_1 50 ? ? 0 1.50 16 30 1.030 0.15 6.356 $1.33 \times {10^{ - 4}}$
SL_2 70 ? ? 0 1.90 17 31 1.035 0.16 5.958 $1.05 \times {10^{ - 4}}$
SL_3 50 APAM 2.5×107 1 33.65 253 472 1.030 9.94 0.157 $1.36 \times {10^{ - 5}}$
SL_4 50 CPAM 1.6×107 1 5.80 19 38 1.030 0.10 9.533 $3.45 \times {10^{ - 5}}$
SL_5 50 PAA-Na 1.2×103 1 3.40 19 34 1.030 0.51 1.869 $5.88 \times {10^{ - 5}}$
SL_6 50 PAA-Na 1.5×104 1 6.05 22 40 1.030 1.28 0.745 $3.31 \times {10^{ - 5}}$
SL_7 50 CMC 4.1×104 1 9.15 23 41 1.030 2.20 0.433 $2.19 \times {10^{ - 5}}$
SL_8 50 CMC 5.7×104 1 63.35 264 291 1.030 32.04 0.030 $3.16 \times {10^{ - 6}}$
SL_9 50 CMC-Na 8.0×103 1 19.40 31 51 1.030 2.96 0.322 $1.03 \times {10^{ - 5}}$
Tab.2 Basic parameters of slurry
Fig.7 Distribution curve of slurry and stratum particles size
Fig.8 Curves of permeability distances for different slurries with time at slurry pressure of 20 kPa
Fig.9 Comparison of improved model and Krause-Broere model at slurry pressure of 20 kPa and infiltration time of 10 s
Fig.10 Comparison of actual slurry penetration distance with theoretical maximum penetration distance
Fig.11 Curves of ratio relationship between improved model and measured permeability distance with time
Fig.12 Modified slurry penetration distance at slurry pressure of 20 kPa and infiltration time of 10 s
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[2] Lian-hui JIA,Tai-yun LI. Key technologies of segment erector for super-large shield machine[J]. Journal of ZheJiang University (Engineering Science), 2020, 54(4): 816-823.
[3] PAN Qian, CHEN Yun min, LI Yu chao, WEN Yi duo. Hydraulic conductivity of bentonite filter cake and its impact on permeability of cutoff walls[J]. Journal of ZheJiang University (Engineering Science), 2017, 51(2): 231-237.
[4] ZHANG Zhong-miao, LIN Cun-gang,WU Shi-ming，ZOU Jian, LIU Jun-wei. Case study of ground surface consolidation settlements induced
by slurry shield tunnelling[J]. Journal of ZheJiang University (Engineering Science), 2012, 46(3): 431-440.