Please use this identifier to cite or link to this item: https://doi.org/10.3390/en11061419
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dc.titleA simple fractal-based model for soil-water characteristic curves incorporating effects of initial void ratios
dc.contributor.authorTao, G
dc.contributor.authorChen, Y
dc.contributor.authorKong, L
dc.contributor.authorXiao, H
dc.contributor.authorChen, Q
dc.contributor.authorXia, Y
dc.date.accessioned2020-10-20T10:11:34Z
dc.date.available2020-10-20T10:11:34Z
dc.date.issued2018
dc.identifier.citationTao, G, Chen, Y, Kong, L, Xiao, H, Chen, Q, Xia, Y (2018). A simple fractal-based model for soil-water characteristic curves incorporating effects of initial void ratios. Energies 11 (6) : 1419. ScholarBank@NUS Repository. https://doi.org/10.3390/en11061419
dc.identifier.issn1996-1073
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/178532
dc.description.abstractIn this paper, a simple and efficient fractal-based approach is presented for capturing the effects of initial void ratio on the soil-water characteristic curve (SWCC) in a deformable unsaturated soil. In terms of testing results, the SWCCs (expressed by gravimetric water content) of the unsaturated soils at different initial void ratios were found to be mainly controlled by the air-entry value (?a), while the fractal dimension (D) could be assumed to be constant. As a result, in contrast to the complexity of existing models, a simple and efficient model with only two parameters (i.e., D and ?a) was established for predicting the SWCC considering the effects of initial void ratio. The procedure for determining the model parameters with clear physical meaning were then elaborated. The applicability and accuracy of the proposed model were well demonstrated by comparing its predictions with four sets of independent experimental data from the tests conducted in current work, as well as the literature on a wide range of soils, including Wuhan Clay, Hefei and Guangxi expansive soil, Saskatchewan silt, and loess. Good agreements were obtained between the experimental data and the model predictions in all of the cases considered. © 2018 by the authors.
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceUnpaywall 20201031
dc.subjectForecasting
dc.subjectSoil moisture
dc.subjectSoil structure interactions
dc.subjectSoil testing
dc.subjectFractal dimensions (d)
dc.subjectFractal model
dc.subjectInitial void ratios
dc.subjectModel parameters
dc.subjectModel prediction
dc.subjectPhysical meanings
dc.subjectSoil-water characteristic curve
dc.subjectThe soil-water characteristic curves (SWCC)
dc.subjectFractal dimension
dc.typeArticle
dc.contributor.departmentCIVIL AND ENVIRONMENTAL ENGINEERING
dc.description.doi10.3390/en11061419
dc.description.sourcetitleEnergies
dc.description.volume11
dc.description.issue6
dc.description.page1419
dc.published.statepublished
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