Electrical properties of frozen saline clay and their relationship with unfrozen water content

Liu, Jianpeng; Yang, Ping; Yang, Zhaohui

doi:10.1016/j.coldregions.2020.103127

Cited by 25 publications

(10 citation statements)

References 68 publications

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“…24 clays, 18 silty clays, 7 silts, 19 sands, and 10 sandstones satisfied the above criteria, as shown in Table 1. More details of their databases and experimental methodologies can be found in the following papers (Watanabe and Wake, 2009;Wen et al, 2012;Li et al, 2018;Kong et al, 2020;Li et al, 2020;Liu, 2020;Liu et al, 2020;Meng et al, 2020;Teng et al, 2020;Wang, 2020;Zhou, 2020;Kong et al, 2021;Teng et al, 2021;Wang et al, 2021;Weng et al, 2021;Yang et al, 2021).…”

Section: Published Datasetsmentioning

confidence: 99%

Investigation on unfrozen water content models of freezing soils

Wang

et al. 2023

Front. Earth Sci.

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Unfrozen water content is a significant hydro-thermal property in numerical modeling in cold regions. Although numerous models have been developed to mimic the variation of unfrozen water content with subzero temperature, comprehensive evaluation of unfrozen water content models is scarce. This study collected a total of 29 models and divided them into four categories, namely, theoretical models, soil water characteristic curve (SWCC)-based models, empirical models, and estimation models. These models were evaluated with 1278 experimental points from 16 studies covering multiple soil types, including 24 clays, 18 silty clays, 7 silts, 19 sands, and 10 sandstones. Root mean square error and average deviations were applied to judge the performance of these models. Most unfrozen water content models can well simulate the relationship between unfrozen water content and subzero temperature. Among the aforementioned four categories of unfrozen water content models, Lizhm et al. model, Fredlund and Xing (C=1)-Wen model, Kozlowski empirical model, and Kozlowski estimation model performed best in their respective categories. Compared to the rest three categories, estimation models can be applied to predict the variation of unfrozen water content with subzero temperature by some easy-to-obtain soil physical parameters and provide guidance for the development of unfrozen water content models.

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Section: Published Datasetsmentioning

confidence: 99%

Investigation on unfrozen water content models of freezing soils

Wang

et al. 2023

Front. Earth Sci.

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“…The experimental measurement techniques include pulsed nuclear magnetic resonance method (Watanabe and Wake, 2009), time/frequency domain reflectometry method (Patterson and Smith, 1985;Xiao et al, 2018), calorimetry method (Kozlowski and Nartowska, 2013), and dilatometry method (Konrad, 1994). Experimental efforts have shown that the SFCC is affected by dry density, water content, confining stress, and salinity (Zhang et al, 2018;Mu et al, 2019;Liu et al, 2020;Xiao et al, 2020). Most researches have investigated the freezing branch of SFCC, but few researches studied the thawing branch of SFCC and hysteresis behavior.…”

Section: Introductionmentioning

confidence: 99%

Study on soil freezing characteristic curve during a freezing-thawing process

et al. 2023

Front. Earth Sci.

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Soil freezing characteristic curve (SFCC) defines the relationship between unfrozen water content and subzero temperature. The SFCC is widely applied to estimate the soil properties. The current study explored the effects of initial water content, dry density, soil type and desalination on the SFCC during a freezing-thawing process. It showed that the initial water content, soil type and desalination had great impacts on SFCC, while the dry density had an insignificant effect on SFCC. Hysteresis behavior was observed for all the soil samples. The hysteresis behavior was obvious in the temperature range of -5°C < T < 0, but not obvious in the temperature range of T ≤ -10 °C. A new equation containing freezing/thawing point was proposed to model the SFCC. The new model and four SFCC models were evaluated with measured data in this study. It showed that the new model performed best among these models. The new model accurately mimics the SFCC and is continuous near the freezing/thawing point and 0 °C. It can be easily incorporated into numerical algorithms for coupled heat and mass transfer in cold regions.

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“…14 With changing temperature, the apparent dielectric constant and bulk conductivity of soil signicantly change. 15 Multiple factors such as water activity, unfrozen water content, and salt and water migration all affect the dielectric properties of soil. 16,17 Some scholars have studied the inuence of temperature on the corrosion of carbon steel in saline soil, [18][19][20] but few scholars have studied the change in carbon steel corrosion behaviour during the cooling process of natural saline soil.…”

Section: Introductionmentioning

confidence: 99%

“… 14 With changing temperature, the apparent dielectric constant and bulk conductivity of soil significantly change. 15 Multiple factors such as water activity, unfrozen water content, and salt and water migration all affect the dielectric properties of soil. 16,17 …”

Section: Introductionmentioning

confidence: 99%