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Modeling Thermal Conductivity Dryout Curves from Soil-Water Characteristic Curves

机译:从土壤-水特征曲线模拟导热率枯竭曲线

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摘要

A new approach is proposed for modeling thermal conductivity dryout curves (TCDCs) using measurements of soil-water characteristic curves (SWCCs) for coarse-grained unsaturated soils. The approach is based on observation of similitude between a bimodal formulation of the SWCC in the form S(ψ) and the TCDC in the form λ(ψ). The model may be used in either an empirical curve-fitting capacity to best-fit measured "thermal conductivity data or in a predictive capacity to estimate a TCDC from a measured SWCC. Applying the model in a curve-fitting capacity facilitates numerical modeling of heat transfer problems by providing a continuous function for the TCDC. Applying the model in a predictive capacity potentially has broad applications because the SWCC is readily measured or estimated in practice, but the TCDC is not. Performance and characteristics of the model are evaluated by comparison with SWCCs and TCDCs measured for a suite of sands. Predicted thermal conductivity is within 10% of measured values over the complete range of saturation.
机译:提出了一种通过测量粗粒非饱和土壤的土壤-水特征曲线(SWCC)来模拟导热系数枯竭曲线(TCDC)的新方法。该方法基于对SWCC形式为S(ψ)的TCCC和TCDC形式为λ(ψ)的TCDC之间相似性的观察。该模型可以用于经验曲线拟合能力以最佳拟合所测得的“热导率数据”,也可以用于预测能力以根据所测得的SWCC估算TCDC。将模型应用于曲线拟合能力有助于对热量进行数值建模通过为TCDC提供连续功能来转移问题,将模型应用于预测能力可能具有广泛的应用,因为SWCC在实践中很容易测量或估算,而TCDC则不然。对于一组砂测量的SWCC和TCDC,在整个饱和度范围内,预测的热导率均在测量值的10%以内。

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