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Fitting Performance of Different Models on Loess Particle Size Distribution Curves
Joint Authors
Chen, Wenwu
Liu, Wei
Bi, Jun
Lin, Gaochao
Wu, Weijiang
Su, Xing
Source
Advances in Materials Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-09
Country of Publication
Egypt
No. of Pages
15
Abstract EN
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.
American Psychological Association (APA)
Liu, Wei& Chen, Wenwu& Bi, Jun& Lin, Gaochao& Wu, Weijiang& Su, Xing. 2017. Fitting Performance of Different Models on Loess Particle Size Distribution Curves. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1124408
Modern Language Association (MLA)
Liu, Wei…[et al.]. Fitting Performance of Different Models on Loess Particle Size Distribution Curves. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1124408
American Medical Association (AMA)
Liu, Wei& Chen, Wenwu& Bi, Jun& Lin, Gaochao& Wu, Weijiang& Su, Xing. Fitting Performance of Different Models on Loess Particle Size Distribution Curves. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1124408
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1124408