A study of hysteresis models for soil-water characteristic curves
A review of hysteresis models for soil-water characteristic curves is presented. The models can be categorized into two groups: (i) domain models (or physically based models) and (ii) empirical models. Some models are capable of predicting scanning curves, while other models are capable of predictin...
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Published in | Canadian geotechnical journal Vol. 42; no. 6; pp. 1548 - 1568 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Ottawa, Canada
NRC Research Press
01.12.2005
National Research Council of Canada Canadian Science Publishing NRC Research Press |
Subjects | |
Online Access | Get full text |
ISSN | 0008-3674 1208-6010 |
DOI | 10.1139/t05-071 |
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Summary: | A review of hysteresis models for soil-water characteristic curves is presented. The models can be categorized into two groups: (i) domain models (or physically based models) and (ii) empirical models. Some models are capable of predicting scanning curves, while other models are capable of predicting the boundary wetting curve and the boundary drying curve. A comparison of the ability of five selected models to predict the boundary wetting curve showed that the Feng and Fredlund model with enhancements by Pham, Fredlund, and Barbour appears to be the most appropriate model for engineering practice. Another comparison among five physically based models for predicting scanning curves showed that the Mualem model-II gives the best overall prediction of scanning curves. The study showed that taking the effect of pore blockage into account does not always give a better prediction of hysteretic soil-water characteristic curves. A scaling method for estimating the initial drying curve, the boundary wetting curve, and the boundary drying curve is also presented in the paper.Key words: soil-water characteristic curve, hysteresis model, comparison, boundary curve, scanning curve, unsaturated soils. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Article-2 ObjectType-Feature-1 |
ISSN: | 0008-3674 1208-6010 |
DOI: | 10.1139/t05-071 |