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Fitting performance of different models on Loess particle size distribution curve

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Document pages: 15 pages

Abstract: Soil moisture characteristic curve (SWCC) describes the relationship between matrix suction and soil moisture, and the test process is time-consuming. In contrast, the test time of particle size distribution (PSD) is relatively short. Therefore, it is very important to establish an appropriate PSD model to predict SWCC. PSD analysis of 25 groups of loess was carried out by laser diffraction (LD) and screening settlement method. Logarithmic model, Fredlund model, JAKY model and Gompertz model were used to fit and analyze PSD. The fitting performance was explained by statistical methods. At the same time, an empirical model is proposed. Compared with the four models, the empirical model has fewer parameters, simple model form and Prameters. Results of LD showed higher clay content but lower silt content. It is suggested that Fredlund model or the empirical model be adopted to forecast SWCC of Malan loess.

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