Fitting Performance of Different Models on Loess Particle Size Distribution Curves
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 mo...
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doaj-671775a36d9b4875b635a376193b67822020-11-24T20:51:31ZengHindawi LimitedAdvances in Materials Science and Engineering1687-84341687-84422017-01-01201710.1155/2017/62950786295078Fitting Performance of Different Models on Loess Particle Size Distribution CurvesWei Liu0Wenwu Chen1Jun Bi2Gaochao Lin3Weijiang Wu4Xing Su5Key Laboratory of Mechanics on Disaster and Environment in Western China and School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, Gansu 730000, ChinaKey Laboratory of Mechanics on Disaster and Environment in Western China and School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, Gansu 730000, ChinaKey Laboratory of Mechanics on Disaster and Environment in Western China and School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, Gansu 730000, ChinaKey Laboratory of Mechanics on Disaster and Environment in Western China and School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou, Gansu 730000, ChinaGeological Hazards Institute, Gansu Academy of Sciences, Lanzhou, Gansu 730000, ChinaGeological Hazards Institute, Gansu Academy of Sciences, Lanzhou, Gansu 730000, ChinaThe 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.http://dx.doi.org/10.1155/2017/6295078 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei Liu Wenwu Chen Jun Bi Gaochao Lin Weijiang Wu Xing Su |
spellingShingle |
Wei Liu Wenwu Chen Jun Bi Gaochao Lin Weijiang Wu Xing Su Fitting Performance of Different Models on Loess Particle Size Distribution Curves Advances in Materials Science and Engineering |
author_facet |
Wei Liu Wenwu Chen Jun Bi Gaochao Lin Weijiang Wu Xing Su |
author_sort |
Wei Liu |
title |
Fitting Performance of Different Models on Loess Particle Size Distribution Curves |
title_short |
Fitting Performance of Different Models on Loess Particle Size Distribution Curves |
title_full |
Fitting Performance of Different Models on Loess Particle Size Distribution Curves |
title_fullStr |
Fitting Performance of Different Models on Loess Particle Size Distribution Curves |
title_full_unstemmed |
Fitting Performance of Different Models on Loess Particle Size Distribution Curves |
title_sort |
fitting performance of different models on loess particle size distribution curves |
publisher |
Hindawi Limited |
series |
Advances in Materials Science and Engineering |
issn |
1687-8434 1687-8442 |
publishDate |
2017-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2017/6295078 |
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