دورية أكاديمية

A Hyperbolic Model for Predicting the Thermal Conductivity of Soil in the Freezing Process.

التفاصيل البيبلوغرافية
العنوان: A Hyperbolic Model for Predicting the Thermal Conductivity of Soil in the Freezing Process. (English)
المؤلفون: DUAN Wen-kui, WANG Lai-fa, CHAO Fa-jun, MING Feng
المصدر: China Rural Water & Hydropower; 2024, Issue 5, p47-52, 6p
مصطلحات موضوعية: THERMAL conductivity, SOIL freezing, FROZEN ground, STANDARD deviations, MASS transfer
مستخلص: Because the thermal conductivity of freezing soil is hard to measure, in order to clarify the influence of temperature on thermal conductivity, a hyperbolic model with three parameters was proposed to describe the relationship between thermal conductivity and negative temperature in this paper. Then, the performance of the new hyperbolic model was verified by the measured thermal conductivity coefficients and three widely used models, and a sensitivity analysis of model parameters was performed. The results show that the hyperbolic model can accurately predict the change pattern of soil thermal conductivity during the freezing process. Among these four models, the proposed hyperbolic model has the smallest root mean square error and relative error. The model parameters are closely related to the fine particle content and decrease as the initial volume moisture content increases. Considering the new model can accurately simulate the variation of thermal conductivity with subzero temperature, it can provide a basis for coupled heat and mass transfer in cold regions. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:10072284
DOI:10.12396/znsd.231562