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Reversible and Irreversible Processes in Drying and Wetting of Soil

机译:土壤干燥和润湿中的可逆和不可逆过程

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摘要

In this article, we provide a detailed description of a modeling technique for the capillary hysteresis in a soil-like porous material based on a Generalized Preisach Model. The identification of the reversible and irreversible Preisach distributions was performed with the first-order reversal curve (FORC) diagram technique, which is very popular now in magnetism and in other areas of science to give a fingerprint of the studied system. A special attention was given to the evaluation of the reversible component. In this case, we used a set of data published in 1965 by Morrow and Harris which has been used as a reference by many other researchers since. The advantage of this approach is that the experimental FORC distributions can be described with analytical functions and easily implemented in the mentioned Preisach-type model. Our research is also focused on the development of a characterization tool for the soil using the soil-moisture hysteresis. The systematic use of scanning curves provides a (FORC) diagram linked to the physical properties of the studied soil. The agreement between the experimental data and the Preisach model using the set of parameters found through the FORC technique is really noticeable and gives a good practical option to the researchers to use a method with a strong predictive capability.
机译:在本文中,我们将对基于通用Preisach模型的类土壤多孔材料中的毛细管滞后建模技术进行详细描述。可逆和不可逆的Preisach分布的识别是通过一阶逆转曲线(FORC)图技术进行的,该技术现在在磁性和其他科学领域非常流行,可以为研究系统提供指纹。对可逆成分的评估给予了特别关注。在这种情况下,我们使用了Morrow和Harris在1965年发布的一组数据,此后此数据已被许多其他研究人员用作参考。这种方法的优势在于,实验的FORC分布可以通过分析函数进行描述,并且可以在提到的Preisach型模型中轻松实现。我们的研究还集中在开发利用土壤水分滞后作用的土壤表征工具上。扫描曲线的系统使用提供了一个(FORC)图,该图与所研究土壤的物理特性有关。使用通过FORC技术找到的一组参数,实验数据与Preisach模型之间的一致性确实很明显,并且为研究人员使用具有强大预测能力的方法提供了一个很好的实践选择。

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