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基于VG模型确定土水特征曲线基本参数

潘登丽 倪万魁 苑康泽 张镇飞 王熙俊

潘登丽, 倪万魁, 苑康泽, 张镇飞, 王熙俊. 基于VG模型确定土水特征曲线基本参数[J]. 机械工程学报, 2020, 28(1): 69-76. doi: 10.13544/j.cnki.jeg.2019-156
引用本文: 潘登丽, 倪万魁, 苑康泽, 张镇飞, 王熙俊. 基于VG模型确定土水特征曲线基本参数[J]. 机械工程学报, 2020, 28(1): 69-76. doi: 10.13544/j.cnki.jeg.2019-156
PAN Dengli, NI Wankui, YUAN Kangze, ZHANG Zhenfei, WANG Xijun. DETERMINATION OF SOIL-WATER CHARACTERISTIC CURVE VARIABLES BASED ON VG MODEL[J]. JOURNAL OF MECHANICAL ENGINEERING, 2020, 28(1): 69-76. doi: 10.13544/j.cnki.jeg.2019-156
Citation: PAN Dengli, NI Wankui, YUAN Kangze, ZHANG Zhenfei, WANG Xijun. DETERMINATION OF SOIL-WATER CHARACTERISTIC CURVE VARIABLES BASED ON VG MODEL[J]. JOURNAL OF MECHANICAL ENGINEERING, 2020, 28(1): 69-76. doi: 10.13544/j.cnki.jeg.2019-156

基于VG模型确定土水特征曲线基本参数

doi: 10.13544/j.cnki.jeg.2019-156
基金项目: 

陕西省重点研发计划项目 2017ZDXM-SF-087

陕西省重点研发计划项目 2019ZDLSF05-07

详细信息
    作者简介:

    潘登丽(1993-),女,硕士生,主要从事非饱和土特性研究. E-mail:120072925@qq.com

    通讯作者:

    倪万魁(1965-), 男, 博士, 教授, 博士生导师, 主要从事黄土工程地质的研究.E-mail:niwankui@chd.edu.cn

  • 中图分类号: TU443

DETERMINATION OF SOIL-WATER CHARACTERISTIC CURVE VARIABLES BASED ON VG MODEL

Funds: 

the Key Research and Development Program of Shaanxi Province 2017ZDXM-SF-087

the Key Research and Development Program of Shaanxi Province 2019ZDLSF05-07

  • 摘要: 土水特征曲线基本参数(进气值、残余吸力值和反弯点的斜率等)在非饱和土的强度理论、渗流理论以及体变特性等方面都是非常重要的参数,常常通过传统画图法来确定,其精确度难以保证。以洛川标准剖面4层原状黄土为研究对象,基于VG模型提出单峰和双峰SWCC基本参数的确定方法;采用滤纸法测得SWCC数据点,基于VG模型进行最优化拟合,获取拟合参数,利用单峰和双峰SWCC数据点验证该方法的可行性;进行自然状态下的水分蒸发试验,根据质量含水率与蒸发时间的关系确定蒸发残余饱和度Srzf,依据Sr1Sr2(Sr1Sr2分别由确定残余状态的两种方法得到)与Srzf的相对误差值,比较了两种确定残余状态的方法。结果表明:对于单峰和双峰SWCC曲线,该方法都可以得到合理的基本参数并有效地确定其残余状态。

     

  • 图  单峰土水特征曲线基本参数定义

    Figure  1.  Definitions of unimodal SWCC variables

    图  不同的反弯点会产生不同的进气值

    Figure  2.  Different inflection points will lead to different air-entry values

    图  双峰土水特征曲线基本参数定义

    Figure  3.  Definitions of bimodal SWCC variables

    图  基于本文方法确定单峰SWCC的基本参数

    a. L6;b. L7;c. L13

    Figure  4.  The variables of unimodal SWCC are determined based on the method in this paper

    图  洛川原状黄土L1的孔径分布图

    Figure  5.  Pore size distribution of Luochuan undisturbed loess L1

    图  基于本文方法确定双峰SWCC的基本参数

    Figure  6.  The variables of bimodal SWCC are determined based on the method in this paper

    图  洛川原状黄土蒸发试验结果

    Figure  7.  Evaporation test results of Luochuan undisturbed loess

    表  1  洛川原状黄土的基本物理性质

    Table  1.   Properties of Luochuan undisturbed loess

    层号 埋深
    /m
    含水量
    /%
    孔隙比 干密度
    /g·cm-3
    比重 饱和
    含水率ω
    液限
    /%
    塑限
    /%
    塑性
    指数
    颗粒组成/%
    细砂粒 粉粒 黏粒
    L6 43 12.10 0.81 1.50 2.72 32.5 29.0 16.5 12.5 9.17 78.54 12.29
    L7 48 14.40 0.75 1.54 2.72 30.1 30.1 19.6 11.2 1.32 72.83 25.85
    L13 72 9.76 0.74 1.55 2.72 29.4 31.0 19.4 11.6 5.05 81.75 13.20
    下载: 导出CSV

    表  2  单峰土水特征曲线的拟合参数和基本参数

    Table  2.   Best fitting parameters and variables of the unimodal SWCCs

    试验
    黄土
    拟合参数 R2 SWCC基本参数
    a n m ψaev I(ψi, Si) Ki R1(ψr1Sr1) R2(ψr2Sr2)
    L6 0.047 1.326 0.246 0.973 9.41 (61.29, 0.671) -0.404 (1002, 0.179) (1136, 0.156)
    L7 0.034 1.230 0.187 0.973 13.60 (114.96, 0.708) -0.316 (1346, 0.370) (3167, 0.255)
    L13 0.024 1.232 0.188 0.989 19.30 (161.57, 0.707) -0.318 (1627, 0.390) (3509, 0.284)
    下载: 导出CSV

    表  3  双峰土水特征曲线的拟合参数

    Table  3.   Bimodal SWCC best fitting parameters

    L1 拟合参数 R2
    a/kPa-1 n m
    10-1~ψd 0.161 1.283 0.221 0.964
    ψd~106 3E-4 1.436 0.304 0.991
    下载: 导出CSV

    表  4  双峰土水特征曲线的基本参数

    Table  4.   Bimodal SWCC variables

    10-1~ψd ψaev/kPa I(ψiSi) Ki R(ψrSr)
    2.79 (20,0.686) -0.366 (144.5,0.376)
    ψd~106 ψ′aev I′(ψiSi) K′i R1(ψr1Sr1) R2(ψr2Sr2)
    1344 (7096,0.239) -0.184 (29847,0.125) (50938,0.083)
    下载: 导出CSV

    表  5  Srzf值以及Sr1Sr2Srzf的相对误差计算结果

    Table  5.   Srzf values and the relative errors between Sr1Sr2 and Srzf

    土层 临残时间
    tr/h
    残余含水率
    ωr/%
    残余饱和度
    Srzf
    相对误差
    e1/%
    相对误差
    e2/%
    L1 33 4.52 0.111 12.8 25.1
    L6 33 6.91 0.232 22.9 32.8
    L7 33 7.22 0.262 41.3 2.6
    L13 33 5.49 0.202 93.3 40.7
    下载: 导出CSV

    表  6  试验黄土的主要矿物成分和含量

    Table  6.   The main mineral composition and content of the loess

    矿物 L1 L6 L7 L13
    石英 51.1 55.5 48.7 58.4
    方解石 15.2 12.3 15.4 13.1
    斜长石 7.7 11.8 19.0 10.4
    绿泥石 9.0 7.0 6.0 7.0
    伊利石 8.5 8.0 6.5 7.5
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-04-11
  • 修回日期:  2019-10-25
  • 发布日期:  2020-02-25

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