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基于化学反应动力学方程的一维膨胀时程模型

邹维列, 叶云雪, 韩仲

邹维列, 叶云雪, 韩仲. 基于化学反应动力学方程的一维膨胀时程模型[J]. 岩土工程学报, 2020, 42(4): 737-744. DOI: 10.11779/CJGE202004017
引用本文: 邹维列, 叶云雪, 韩仲. 基于化学反应动力学方程的一维膨胀时程模型[J]. 岩土工程学报, 2020, 42(4): 737-744. DOI: 10.11779/CJGE202004017
ZOU Wei-lie, YE Yun-xue, HAN Zhong. Chemical reaction kinetics based models for describing evolution of one-dimensional expansion with time[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(4): 737-744. DOI: 10.11779/CJGE202004017
Citation: ZOU Wei-lie, YE Yun-xue, HAN Zhong. Chemical reaction kinetics based models for describing evolution of one-dimensional expansion with time[J]. Chinese Journal of Geotechnical Engineering, 2020, 42(4): 737-744. DOI: 10.11779/CJGE202004017

基于化学反应动力学方程的一维膨胀时程模型  English Version

基金项目: 

国家自然科学基金项目 51779191

国家自然科学基金青年基金项目 51809199

详细信息
    作者简介:

    邹维列(1969—),男,教授,博士生导师,从事非饱和土特性、土工合成材料应用和道路岩土工程等方面的教学和研究。E-mail: zwilliam@whu.edu.cn

    通讯作者:

    韩仲, E-mail: zhong.han@whu.edu.cn

  • 中图分类号: TU435

Chemical reaction kinetics based models for describing evolution of one-dimensional expansion with time

  • 摘要: 基于膨胀土的微观膨胀机理,利用二级化学反应动力学方程推导出膨胀土的两种膨胀时程模型:双曲线模型和Logistic模型。前者为两参数模型,其参数物理意义明确;后者为三参数模型,尚有物理意义不明确的参数。通过室内一维膨胀率试验研究了初始含水率和干密度对膨胀时程曲线的影响规律,并对两个模型进行比较。结果表明:①双曲线模型与Logistic模型均能准确地描述膨胀时程曲线;②双曲线模型还可进一步用于预测不同初始含水率和干密度下的膨胀时程曲线;③预测曲线与试验数据具有较好的一致性,且参数的校正过程简单,便于工程应用。推导的膨胀时程模型对于描述膨胀土浸水饱和过程中的体变演化规律具有重要的理论意义。
    Abstract: Two models for describing the evolution of one-dimensional expansion of expansive soils with time are derived based on the second-order chemical reaction kinetic equation, namely, hyperbolic model and Logistic model. The former has two parameters which have clear physical meanings, while the latter has three parameters among which one has an unclear physical meaning. One-dimensional swelling tests on the specimens with different initial water contents and dry densities are conducted to obtain swelling strain-time curves, and the fitting effects using the two models are compared. The results show that both models can accurately describe the swelling strain-time curves. Moreover, the hyperbolic model can also be used to predict the expansion time-history curves of the specimens with different initial water contents and dry densities. The predicted curves have good consistency with the experimental data, and the parameter correction process is simple, which is convenient for engineering applications. The expansion time-history model deduced in this study has important theoretical significance for describing the evolution laws of volume change of expansive soils during the process of water immersion saturation.
  • 衷心地感谢西京学院土木工程学院对本文试验工作的大力支持!
  • 图  1   化学反应速率图

    Figure  1.   Diagram of chemical reaction rate

    图  2   膨胀时程曲线

    Figure  2.   Swelling-time curves

    图  3   两种模型中共同的参数

    Figure  3.   Common parameters in two models

    图  4   两种模型的δmaxt0的关系

    Figure  4.   Relationship between δmax and t0 in two models

    图  5   两种模型的δmax与某一给定变量的关系

    Figure  5.   Relationship between δmax and a given variable in two models

    图  6   预测的膨胀时程曲线与试验数据的比较

    Figure  6.   Comparison between predicted curves and experimental data

    表  1   两种模型的膨胀时程曲线参数

    Table  1   Parameters in swelling-time curves for two models

    干密度/(g·cm-3)含水率/%双曲线模型Logistic模型
    δmax/%t0/minR2δmax/%pt0/minR2
    1.711.423.730.70.99423.71.0130.80.994
    13.520.154.90.99420.01.0854.60.996
    15.217.893.20.99517.61.1293.20.997
    17.614.7176.10.99514.41.06176.00.996
    19.013.4225.30.99613.60.94225.00.996
    21.89.8363.20.9939.90.93363.00.993
    1.612.615.78.70.97315.51.148.90.973
    21.68.0149.10.9978.01.00148.90.997
    1.512.112.86.90.99112.71.117.10.992
    17.410.68.40.96811.30.658.40.985
    1.417.69.33.10.9709.70.603.00.988
    22.66.24.20.9666.50.594.20.988
    下载: 导出CSV

    表  2   预测的荆门弱膨胀土膨胀时程曲线的相关参数

    Table  2   Prediction of parameters of expansion time curve of Jingmen expansive soil

    ρd  /(g·cm-3)双曲线模型式(15)式(16)
    δmaxt0/minR2αβR2m2n2R2
    1.7725.4113.40.9950.0150.1880.99837.912-41.7490.999
    1.6721.546.60.996
    1.307.63.80.986
    下载: 导出CSV
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  • 收稿日期:  2019-05-23
  • 网络出版日期:  2022-12-07
  • 刊出日期:  2020-03-31

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