Improving the Predictive Capability of Popular SWCCs by Incorporating Maximum Possible Suction
Shada H. Krishnapillai, Nadarajah Ravichandran
DOI: 10.4236/ijg.2011.24049   PDF    HTML     5,599 Downloads   8,371 Views   Citations


Soil-water characteristic curve (SWCC) that represents the relationship between the soil moisture and matric suction is one of the important constitutive models required for numerical modeling of unsaturated soils. An effective SWCC model should be capable of calculating the moisture-suction variation for the entire range of degree of saturation. Applicability of popular SWCC models such as Brooks and Corey, van Genuchten, and Fredlund and Xing is limited, especially in low (< 20%) degree of saturation range. In this study, all these models are modified by incorporating maximum suction as one of the model parameters, so that these models can be effectively used over the entire range of degree of saturation. The Fredlund et al (1994) permeability function is also modified based on the modification to the Fredlund and Xing SWCC model. The applicability of the improved models is investigated by calibrating the SWCC of various types of soil and presented in this paper. Based on this study it can be concluded that the modified models are flexible enough to fit the experimental data for the entire range of degree of saturation.

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S. Krishnapillai and N. Ravichandran, "Improving the Predictive Capability of Popular SWCCs by Incorporating Maximum Possible Suction," International Journal of Geosciences, Vol. 2 No. 4, 2011, pp. 468-475. doi: 10.4236/ijg.2011.24049.

Conflicts of Interest

The authors declare no conflicts of interest.


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