Advanced Search
  • 全国中文核心期刊
  • 中国科技核心期刊
  • 美国工程索引（EI）收录期刊
  • Scopus数据库收录期刊
Volume 43 Issue 1
Turn off MathJax
Article Contents
Abstract
References
Related Articles
WANG Jia-chen, ZHU Hong-hu, WANG Jing, CAO Ding-feng, SU Li-jun, Reddy Narala Gangadhara. Laboratory model tests on capillary barrier infiltration using actively heated fiber optic method[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(1): 147-155. DOI: 10.11779/CJGE202101017
Citation: WANG Jia-chen, ZHU Hong-hu, WANG Jing, CAO Ding-feng, SU Li-jun, Reddy Narala Gangadhara. Laboratory model tests on capillary barrier infiltration using actively heated fiber optic method[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(1): 147-155. DOI: 10.11779/CJGE202101017
shu

Laboratory model tests on capillary barrier infiltration using actively heated fiber optic method

  • 1.

    School of Earth Sciences and Engineering, Nanjing University, Nanjing210023, China

  • 2.

    Key Lab. of Mountain Hazards and Earth Surface Processes, Chinese Academy of Sciences, Chengdu610041, China

  • 3.

    School of Civil Engineering, Sun Yat-sen University, Guangzhou510275, China

  • 4.

    School of Infrastructure, Indian Institute of Technology Bhubaneswar, Bhubaneswar752050, India

More Information
  • Received Date: March 28, 2020
  • Available Online: December 04, 2022
    Graphical Abstract
    • Abstract
  • The capillary barrier effect is a natural phenomenon during the infiltration of unsaturated soil layers with different particle sizes. In order to test the capillary barrier effect of multi-layer soils, laboratory model tests are designed. Subsequently, the actively heated fiber optic (AHFO) method is used to test the water migration of the model tests, and the direct observation method and the frequency domain reflection (FDR) technology are used for verification. The analysis of test shows that compared with the direct observation method and the FDR method, the AHFO method has a better observation effect on the capillary barrier phenomenon caused by rainfall infiltration, and can observe more details of water movement as well. The FDR method is used to perform the in-situ calibration of the AHFO sensor, and the curve-fitting accuracy R2 is greater than 0.93, indicating a high accuracy of volume water content monitoring. The capillary barrier layer has a significant retarding effect on rainfall infiltration, that is, infiltration water can be saved at the storage barrier which can also reduce seepage to the layer under the barrier. The research results may provide a new method for the research on capillary barrier effect and the monitoring of water content distribution.
    • FullText(HTML)
    • References (38)
  • [1]
    AU S W C. Rainfall and slope failure in Hong Kong[J]. Engineering Geology, 1993, 36(1/2): 141-147.
    [2]
    KASSIM A, GOFAR N, LEE L M, et al. Modeling of suction distributions in an unsaturated heterogeneous residual soil slope[J]. Engineering Geology, 2012, 131: 70-82.
    [3]
    LEE M L, NG K Y, HUANG Y F, et al. Rainfall-induced landslides in Hulu Kelang area, Malaysia[J]. Natural Hazards, 2014, 70(1): 353-375. doi: 10.1007/s11069-013-0814-8
    [4]
    JONES D D, ROWE R K. BTEX migration through various geomembranes and vapor barriers[J]. Journal of Geotechnical and Geoenvironmental Engineering, 2016, 142(10): 04016044. doi: 10.1061/(ASCE)GT.1943-5606.0001502
    [5]
    TAN S H, WONG S W, LEE M L, et al. Soil column infiltration tests on biomediated capillary barrier systems for mitigating rainfall-induced landslides[J]. Environmental Earth Sciences, 2018, 77(16): 589. doi: 10.1007/s12665-018-7770-2
    [6]
    焦卫国, 詹良通, 季永新, 等. 黄土-碎石毛细阻滞覆盖层储水能力实测与分析[J]. 岩土工程学报, 2019, 41(6): 1149-1157. https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201906022.htm

    JIAO Wei-guo, ZHAN Liang-tong, JI Yong-xin, et al. Field test and study on water storage capacity of loess-gravel capillary barrier cover[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(6): 1-10. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201906022.htm
    [7]
    RAHARDJO H, GOFAR N, HARNAS F, et al. Effect of geobags on water flow through capillary barrier system[J]. Geotechnical Engineering Journal of the SEAGS & AGSSEA, 2018, 49(2): 1-6.
    [8]
    ZASLAVSKY D, SINAI G. Surface hydrology: IV Flow in sloping, layered soil[J]. Journal of the Hydraulics Division, 1981, 107(1): 53-64. doi: 10.1061/JYCEAJ.0005606
    [9]
    HO C K, WEBB S W. Capillary barrier performance in heterogeneous porous media[J]. Water Resources Research, 1998, 34(4): 603-609. doi: 10.1029/98WR00217
    [10]
    ROSS B. The diversion capacity of capillary barriers[J]. Water Resources Research, 1990, 26(10): 2625-2629. doi: 10.1029/WR026i010p02625
    [11]
    STORMONT J C. The effectiveness of two capillary barriers on a 10% slope[J]. Geotechnical & Geological Engineering, 1996, 14(4): 243-267.
    [12]
    YANG H, RAHARDJO H, LEONG E C, et al. A study of infiltration on three sand capillary barriers[J]. Canadian Geotechnical Journal, 2004, 41(4): 629-643. doi: 10.1139/t04-021
    [13]
    CUDE S M, ANKENY M D, NORTON J B, et al. Capillary barriers improve reclamation in drastically disturbed semiarid shrubland[J]. Arid Land Research and Management, 2018, 32(3): 259-276. doi: 10.1080/15324982.2018.1448903
    [14]
    NIU Q, FRATTA D, WANG Y H. The use of electrical conductivity measurements in the prediction of hydraulic conductivity of unsaturated soils[J]. Journal of Hydrology, 2015, 522: 475-487. doi: 10.1016/j.jhydrol.2014.12.055
    [15]
    BARBOUR S L, HENDRY M J, CAREY S K. High-resolution profiling of the stable isotopes of water in unsaturated coal waste rock[J]. Journal of Hydrology, 2016, 534: 616-629. doi: 10.1016/j.jhydrol.2016.01.053
    [16]
    张志军, 李亚俊, 贺桂成, 等. 某尾矿坝毛细水带内的坝体材料物理力学特性研究[J]. 岩土力学, 2014, 35(6): 1561-1568. doi: 10.16285/j.rsm.2014.06.028

    ZHANG Zhi-jun, LI Ya-jun, HE Gui-cheng, et al. Study of physico-mechanical properties of dam body materials in capillary water fringe of a certain tailings dam[J]. Rock and Soil Mechanics, 2014, 35(6): 1561-1568. (in Chinese) doi: 10.16285/j.rsm.2014.06.028
    [17]
    DOBRIYAL P, QURESHI A, BADOLA R, et al. A review of the methods available for estimating soil moisture and its implications for water resource management[J]. Journal of Hydrology, 2012, 458: 110-117.
    [18]
    SU S L, SINGH D N, BAGHINI M S. A critical review of soil moisture measurement[J]. Measurement, 2014, 54: 92-105. doi: 10.1016/j.measurement.2014.04.007
    [19]
    YIN Z, LEI T, YAN Q, et al. A near-infrared reflectance sensor for soil surface moisture measurement[J]. Computers and Electronics in Agriculture, 2013, 99: 101-107. doi: 10.1016/j.compag.2013.08.029
    [20]
    CAO D, SHI B, ZHU H, et al. A distributed measurement method for in-situ soil moisture content by using carbon-fiber heated cable[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2015, 7(6): 700-707. doi: 10.1016/j.jrmge.2015.08.003
    [21]
    郝瑞, 施斌, 曹鼎峰, 等. 基于 AHFO 技术的毛细水运移模型验证试验研究[J]. 岩土工程学报, 2019, 41(2): 376-382. https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201902019.htm

    HAO Rui, SHI Bin, CAO Ding-feng, et al. Experimental study on capillary water transport model based on AHFO technology[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(2): 376-382. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201902019.htm
    [22]
    CAO D, SHI B, ZHU H, et al. Performance evaluation of two types of heated cables for distributed temperature sensing-based measurement of soil moisture content[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2016, 8(2): 212-217. doi: 10.1016/j.jrmge.2015.09.005
    [23]
    CAO D, SHI B, WEI G, et al. An improved distributed sensing method for monitoring soil moisture profile using heated carbon fibers[J]. Measurement, 2018, 123: 175-184. doi: 10.1016/j.measurement.2018.03.052
    [24]
    曹鼎峰, 施斌, 顾凯, 等. 土的含水率 AHFO 法测量中分段函数模型建立[J]. 水文地质工程地质, 2016, 43(6): 41-47. https://www.cnki.com.cn/Article/CJFDTOTAL-SWDG201606007.htm

    CAO Ding-feng, SHI Bin, GU Kai, et al. Establishment of the piecewise function model in the process of soil moisture monitoring with the AHFO method[J]. Hydrogeology & Engineering Geology, 2016, 43(6): 41-47. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SWDG201606007.htm
    [25]
    LU N, LIKOS W. Unsaturated Soil Mechanics[M]. New York: John Wiley & Sons, Inc, 2004.
    [26]
    KODEŠOVÁ R, KODEŠ V, MRAZ A. Comparison of two sensors ECH2O EC-5 and SM200 for measuring soil water content[J]. Soil and Water Research, 2011, 6(2): 102-110. doi: 10.17221/6/2011-SWR
    [27]
    DECAGON. EC-5 Volumetric Water Content Sensor: Manual[EB/OL]. 2015.
    [28]
    董翰川, 庞丽丽, 史云. 频域反射分析法测定土壤含水率标定试验研究[J]. 水文地质工程地质, 2019, 46(3): 55-61. https://www.cnki.com.cn/Article/CJFDTOTAL-SWDG201903008.htm

    DONG Han-chuan, PANG Li-li, SHI Yun. An experimental study of calibration of soil moisture content by using the frequency domain reflectometry[J]. Hydrogeology & Engineering Geology, 2019, 46(3): 55-61. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-SWDG201903008.htm
    [29]
    HILHORST M A, BALENDONCK J, KAMPERS F W H. A broad-bandwidth mixed analog/digital integrated circuit for the measurement of complex impedance[J]. IEEE Journal of Solid-state Circuits, 1993, 28(7): 764-769.
    [30]
    VAN GENUCHTEN M T. A closed-form equation for predicting the hydraulic conductivity of unsaturated soils[J]. Soil Science Society of America Journal, 1980, 44(5): 892-898.
    [31]
    段超喆, 施斌, 曹鼎峰, 等. 一种准分布式内加热刚玉管 FBG 渗流速率监测方法[J]. 防灾减灾工程学报, 2018, 38(3): 504-510. https://www.cnki.com.cn/Article/CJFDTOTAL-DZXK201803014.htm

    DUAN Chao-zhe, SHI Bin, CAO Ding-feng, et al. A quasi-distributed velocity monitoring method using FBG embedded in internal heated alundum tube[J]. Journal of Disaster Prevention and Mitigation Engineering, 2018, 38(3): 504-510. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DZXK201803014.htm
    [32]
    HSU S Y, HUANG V, PARK S W, et al. Water infiltration into prewetted porous media: dynamic capillary pressure and Green-Ampt modeling[J]. Advances in Water Resources, 2017, 106: 60-67.
    [33]
    DE VRIES D A. Thermal Properties of Soil. In ‘Physics of Plant Environment’[M]. Amsterdam: North-Holland Publishing Company, 1963: 210-235.
    [34]
    BRISTOW K L. 5.3 Thermal conductivity[J]. Methods of Soil Analysis: Part 4 Physical Methods, 2002(5): 1209-1226.
    [35]
    曹鼎峰, 施斌, 严珺凡, 等. 基于 C-DTS 的土壤含水率分布式测定方法研究[J]. 岩土工程学报, 2014, 36(5): 910-915. https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201405021.htm

    CAO Ding-feng, SHI Bin, YAN Jun-fan, et al. Distributed method for measuring moisture content of soils based on C-DTS[J]. Chinese Journal of Geotechnical Engineering, 2014, 36(5): 910-915. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-YTGC201405021.htm
    [36]
    BENÍTEZ-BUELGA J, SAYDE C, RODRÍGUEZ-SINOBAS L, et al. Heated fiber optic distributed temperature sensing: a dual-probe heat-pulse approach[J]. Vadose Zone Journal, 2014, 13(11): 1-12.
    [37]
    WU J, SHI B, CAO D, et al. Model test of soil deformation response to draining-recharging conditions based on DFOS[J]. Engineering Geology, 2017, 226: 107-121.
    [38]
    LIU S, SHI B, GU K, et al. Land subsidence monitoring in sinking coastal areas using distributed fiber optic sensing: a case study[J]. Natural Hazards, 2020, 103: 3043-3061.
    • Related Articles

  • Related Articles

    [1]Time-dependent analysis of deformation induced by soft soil pit excavation adjacent to small curvature radius tunnels[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20240469
    [2]HUANG Maosong, LI Hao, YU Jian, ZHANG Chenrong, NI Yuping. Approach for evaluating longitudinal deformation of underlying tunnels due to excavation of upper foundation pit[J]. Chinese Journal of Geotechnical Engineering, 2023, 45(11): 2209-2216. DOI: 10.11779/CJGE20220780
    [3]XU Si-fa, ZHOU Qi-hui, ZHENG Wen-hao, ZHU Yong-qiang, WANG Zhe. Influences of construction of foundation pits on deformation of adjacent operating tunnels in whole process based on monitoring data[J]. Chinese Journal of Geotechnical Engineering, 2021, 43(5): 804-812. DOI: 10.11779/CJGE202105003
    [4]HUANG Xiao-hu, YI Wu, GONG Chao, HUANG Hai-feng, YU Qing. Reactivation and deformation mechanism of ancient landslides by excavation[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(7): 1276-1285. DOI: 10.11779/CJGE202007011
    [5]XU Zhong-hua, ZONG Lu-dan, SHEN Jian, WANG Wei-dong. Deformation of a deep excavation adjacent to metro tunnels in soft soils[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(S1): 41-44. DOI: 10.11779/CJGE2019S1011
    [6]WEI Gang, HONG Wen-qiang, WEI Xin-jiang, ZHANG Xin-hai, LUO Jing-wei. Calculation of rigid body rotation and shearing dislocation deformation of adjacent shield tunnels due to excavation of foundation pits[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(7): 1251-1259. DOI: 10.11779/CJGE201907009
    [7]ZHENG Gang, DU Yi-ming, DIAO Yu, DENG Xu, ZHU Gan-ping, ZHANG Li-ming. Influenced zones for deformation of existing tunnels adjacent to excavations[J]. Chinese Journal of Geotechnical Engineering, 2016, 38(4): 599-612. DOI: 10.11779/CJGE201604003
    [8]ZHA Fu-sheng, LIN Zhi-yue, CUI Ke-rui. Numerical analysis of stress and deformation characteristics of foundation pits under deep excavation[J]. Chinese Journal of Geotechnical Engineering, 2013, 35(zk1): 484-488.
    [9]CAO Quan, LI Qin-ming, XIANG Wei, JIA Hai-liang. Automatic monitoring of effects of excavation of group foundation pitson existing adjacent metro tunnels[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(suppl): 552-556.
    [10]Liu Xingwang, Shi Zuyuan, Yi Deqing, Wu Shiming. Deformation characteristics analysis of braced excavation on soft clay[J]. Chinese Journal of Geotechnical Engineering, 1999, 21(4): 456-460.
    • Supplements (0)

  • Cited by

    Periodical cited type(9)

    1. 宋泽宇，蒲力，马云飞. 含有机质黏土全吸力范围内土-水特征曲线试验研究. 水力发电. 2024(10): 114-118 .
    2. 童富果，蔡文婧，薛松，刘刚，李东奇. 基于孔隙分形特征的水泥基毛细吸力预测模型. 水利水电科技进展. 2024(06): 27-33 .
    3. 幸锦雯，孙文，余光耀，徐娜，麻建宏. 基于核磁共振及分形理论预测非饱和土石混合体SWCC. 水利水电技术(中英文). 2023(10): 180-189 .
    4. 王海曼，倪万魁. 不同干密度压实黄土的饱和/非饱和渗透系数预测模型. 岩土力学. 2022(03): 729-736 .
    5. 魏小棋，陈盼. 压实延安黄土土-水特性及快速测定方法探讨. 土工基础. 2022(03): 446-450 .
    6. 王海曼，倪万魁，刘魁. 延安压实黄土土-水特征曲线的快速预测方法. 岩土力学. 2022(07): 1845-1853 .
    7. 刘莉，姜大伟，于明波，颜荣涛，于海浩，陈波. 千枚岩全风化土的持水特性研究. 河南科技大学学报(自然科学版). 2022(06): 53-58+8 .
    8. 高世壮，薛善彬，张鹏，李春云，王俊洁. 高温作用对应变硬化水泥基复合材料吸水性能及微结构演化特征的影响. 复合材料学报. 2022(10): 4778-4787 .
    9. 马冬冬，马芹永，黄坤，张蓉蓉. 基于NMR的地聚合物水泥土孔隙结构与动态力学特性研究. 岩土工程学报. 2021(03): 572-578 . 本站查看

    Other cited types(13)

Catalog

    Get Citation
    PDF
    XML
    Article views (317) PDF downloads (193) Cited by(22)
    Related
    Copyright © 2010 Editorial By Chinese Journal of Geotechnical Engineering 苏ICP备05007122号-11公安联网备案号：32010602011255
    Editorial Office address：34 Hujuguan,Nanjing 210024,ChinaPostal Code：210024Tel：025-85829534，85829556E-mail: ge@nhri.cn

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return