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干旱区土遗址掏蚀区土盐渍劣化与风蚀损耗效应(Ⅲ):毛细过程

崔凯, 赵晓铮, 朱鸣基, 谌文武, 韩文峰

崔凯, 赵晓铮, 朱鸣基, 谌文武, 韩文峰. 干旱区土遗址掏蚀区土盐渍劣化与风蚀损耗效应(Ⅲ):毛细过程[J]. 岩土工程学报, 2022, 44(11): 2043-2051. DOI: 10.11779/CJGE202211010
引用本文: 崔凯, 赵晓铮, 朱鸣基, 谌文武, 韩文峰. 干旱区土遗址掏蚀区土盐渍劣化与风蚀损耗效应(Ⅲ):毛细过程[J]. 岩土工程学报, 2022, 44(11): 2043-2051. DOI: 10.11779/CJGE202211010
CUI Kai, ZHAO Xiao-zheng, ZHU Ming-ji, CHEN Wen-wu, HAN Wen-feng. Effects of salinized deterioration and aeolian ullage on soils in undercutting areas of earthen ruins in arid regions (Ⅲ): capillary process[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(11): 2043-2051. DOI: 10.11779/CJGE202211010
Citation: CUI Kai, ZHAO Xiao-zheng, ZHU Ming-ji, CHEN Wen-wu, HAN Wen-feng. Effects of salinized deterioration and aeolian ullage on soils in undercutting areas of earthen ruins in arid regions (Ⅲ): capillary process[J]. Chinese Journal of Geotechnical Engineering, 2022, 44(11): 2043-2051. DOI: 10.11779/CJGE202211010

干旱区土遗址掏蚀区土盐渍劣化与风蚀损耗效应(Ⅲ):毛细过程  English Version

基金项目: 

国家自然科学基金项目 52068050

国家自然科学基金项目 41562015

教育部长江学者创新团队支持计划项目 2017IRT17-51

详细信息
    作者简介:

    崔凯(1980—),男,教授,博士生导师,从事西部地区岩土体劣化破坏过程与机理的研究工作。E-mail: 65226683@qq.com

  • 中图分类号: TU411

Effects of salinized deterioration and aeolian ullage on soils in undercutting areas of earthen ruins in arid regions (Ⅲ): capillary process

  • 摘要: 毛细过程是干旱区土遗址底部掏蚀区发生盐渍劣化效应的主要途径,同时也是其发生风蚀损耗效应的重要前提。通过对3处典型的土遗址开展全年四季正常天气、降雨和降雪条件下地基和掏蚀区含水率变化的实时监测数据分析,发现降雨(雪)天气是掏蚀区毛细过程的诱发因素;并结合室内掏蚀区毛细模拟试验,表明地基土塑限值是掏蚀区发生毛细过程临界条件。依托15处干旱地区不同时代土遗址掏蚀区的取样与模拟试验结果,在充分考虑其毛细过程特征的基础上,通过引入毛细吸水率、蒸发速率等变量建立了毛细水上升最大高度理论计算模型,模型计算结果表明当误差修正系数ε=0.9时,其绝对误差均小于1 cm。研究结果为干旱区土遗址掏蚀病害的发育机理研究与防治提供了重要的理论支撑与参考。
    Abstract: The capillary process is the main way of salinized deterioration effect and the important premise of aeolian ullage effect in undercutting areas at the bottom of earthen ruins in arid regions. By analyzing the real-time monitoring data of changes in the moisture content in the ground and undercutting areas at three typical earthen sites under normal weather in four seasons, rainfall and snow conditions, it is found that the rainfall (snow) weather is the inducing factor for the capillary process in the undercutting areas. Combined with the laboratory capillary simulation experiment, it is shown that the plastic limit of soil is the critical condition for the capillary process in the undercutting areas. Then based on the sampling and simulation experimental results of undercutting areas of 15 earthen ruins with different ages in arid regions, a theoretical model for the maximum height of capillary water rise is established by introducing the variables such as capillary water absorption, evaporation rate, etc. The calculated results by the theoretical model show that the absolute errors are less than 1 cm when the error correction coefficient is ε=0.9. The above researches provide important theoretical support and reference for the development mechanism and prevention of diseases in undercutting areas at the bottom of earthen ruins in arid regions.
  • 图  1   典型的土遗址监测点

    Figure  1.   Monitoring points of typical earthen archaeological site

    图  2   不同气象条件下土遗址掏蚀区与地基含水率监测结果

    Figure  2.   Monitored water contents of erosion area of earthen archaeological site and foundation under different meteorological conditions

    图  3   土遗址掏蚀区毛细过程模拟试验

    Figure  3.   Simulation experiment on capillary process in undercutting area of earthen ruins

    图  4   地基土在不同含水状态下掏蚀区含水率变化

    Figure  4.   Change of water content of rammed soil under different water content conditions in undercutting area

    图  5   土遗址毛细过程现场试验

    Figure  5.   Field tests on capillary process in earthen ruins

    图  6   掏蚀区毛细过程特征

    Figure  6.   Characteristics of capillary process in undercutting area

    图  7   土遗址毛细上升高度理论计算模型

    Figure  7.   Theoretical model for capillary rise height in earthen archaeological sites

    图  8   不同修正条件下现场实测与计算值及误差分析

    Figure  8.   Field measured and calculated values and error analysis based on different correction conditions

    表  1   调查区气候特征及遗址土参数

    Table  1   Climate characteristics and soil parameters in investigation area

    遗址名称 遗址地点 气候特征 含水率/% 密度ρ/(g·cm-3) 相对质量密度Gs 孔隙比e 有效粒径d10 /(10-6 m) 海森公式计算高度H/m 现场实测高度h / m
    雷墩子(汉) 瓜州 极干旱 1.35 1.58 2.65 0.695 5.9 2.44 0.062
    老师兔(唐) 瓜州 极干旱 0.95 1.67 2.53 0.529 7.2 2.62 0.080
    墩湾(宋) 敦煌 极干旱 1.07 1.74 2.67 0.551 7.7 2.36 0.080
    高闸沟(明) 嘉峪关 极干旱 0.75 1.56 2.58 0.654 3.8 4.02 0.075
    五截堡(清) 瓜州 极干旱 0.55 1.54 2.53 0.652 2.3 6.67 0.075
    南乐堡(汉) 民勤 干旱 1.89 1.54 2.55 0.687 7.4 1.97 0.089
    大庙城(唐) 金昌 干旱 1.75 1.46 2.50 0.735 8.6 1.58 0.075
    回回城(宋) 金昌 干旱 3.75 1.60 2.65 0.718 6.5 2.14 0.070
    镇北堡(明) 银川 干旱 0.35 1.57 2.47 0.579 5.6 3.09 0.125
    文一(清) 民勤 干旱 0.89 1.65 2.53 0.547 3.9 4.69 0.128
    玉山(汉) 永登 半干旱 3.11 1.49 2.53 0.751 3.0 4.44 0.150
    柳州城(唐) 白银 半干旱 3.13 1.43 2.58 0.861 2.2 5.28 0.050
    等等(宋) 永登 半干旱 1.89 1.54 2.50 0.653 3.6 4.25 0.085
    明长城(明) 永登 半干旱 1.45 1.58 2.62 0.682 3.4 4.31 0.085
    满城(清) 永登 半干旱 4.08 1.51 2.67 0.842 3.4 3.49 0.070
    下载: 导出CSV

    表  2   15处遗址土的相关计算参数

    Table  2   Relevant parameters of 15 earthen archaeological sites

    遗址点 毛细吸水率/(g·cm-2·s0.5) 蒸发速率/(g·cm-2·s-1) 孔隙率n
    雷墩子 0.03903 4.0184×10-5 0.410
    老师兔 0.02241 8.7655×10-6 0.346
    墩湾 0.01774 5.0415×10-6 0.355
    高闸沟 0.01812 5.7046×10-6 0.396
    五截堡 0.05755 5.8295×10-5 0.395
    南乐堡 0.06620 4.8478×10-5 0.407
    大庙城 0.00842 1.0571×10-6 0.424
    回回城 0.01405 3.8279×10-6 0.418
    镇北堡 0.04531 1.4515×10-5 0.367
    文一 0.00838 4.9548×10-7 0.354
    玉山 0.06930 2.0184×10-5 0.429
    柳州城 0.07071 1.5835×10-4 0.463
    等等 0.04503 2.7839×10-5 0.395
    明长城 0.05034 3.4173×10-5 0.406
    满城 0.01595 4.5743×10-6 0.457
    下载: 导出CSV

    表  3   不同误差修正条件下现场实测值与理论计算值比对

    Table  3   Comparison between measured and calculated values under different error correction conditions

    遗址点 现场实测高度/cm 理论计算高度/cm
    ε=1.0 ε=0.9 ε=0.8
    雷墩子 6.2 5.6 5.9 6.2
    老师兔 8.0 7.4 7.8 8.3
    墩湾 8.0 7.7 8.1 8.6
    高闸沟 7.5 7.0 7.3 7.8
    五截堡 7.5 6.9 7.3 7.7
    南乐堡 8.9 8.6 9.1 9.6
    大庙城 7.5 7.3 7.7 8.1
    回回城 7.0 6.4 6.8 7.2
    镇北堡 12.5 11.3 12.0 12.7
    文一 12.8 11.6 12.2 12.9
    玉山 15.0 13.6 14.3 15.2
    柳州城 5.0 4.8 5.0 5.3
    等等 8.5 7.8 8.3 8.8
    明长城 8.5 7.8 8.2 8.7
    满城 7.0 6.4 6.7 7.1
    下载: 导出CSV
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  • 收稿日期:  2021-10-14
  • 网络出版日期:  2022-12-08
  • 刊出日期:  2022-10-31

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