Fitting Performance of Different Models on Loess Particle Size Distribution Curves. (9th August 2017)

• Record Type: Journal Article
• Authors: Liu, Wei; Chen, Wenwu; Bi, Jun; Lin, Gaochao; Wu, Weijiang; Su, Xing
• Other Names: De Stefano Luca Academic Editor.
• Is Part Of: Advances in materials science and engineering. Volume 2017(2017)
• Publication Date: 2017-08-09
• Subjects: Materials science -- Periodicals; Materials science; Periodicals; 620.11
• DOI: 10.1155/2017/6295078
• Languages: English
• ISSNs: 1687-8434

Abstract

Abstract : The soil water characteristic curve (SWCC) describes the relationship between matric suction and moisture of soil, the testing process of which is time-consuming. The test time of particle size distribution (PSD), in contrast, is relatively short. Thus, it is quite important to establish a proper model for PSD to forecast SWCC. This paper analyzed PSD of 25 groups of loess by way of laser diffraction technique (LD) and sieve-settlement method. Works were carried out on fitting analysis on PSD with Logarithmic model, Fredlund model, Jaky model, and Gompertz model. Statistical method was used to explain the fitting performance. Meanwhile, an empirical model was put forward. Compared to the four models, the empirical model has fewer parameters, simple model form, and smaller fluctuations of parameters. 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.