Measurement of Stress Dependent Permeability of Unsaturated Clay
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gp-bibliography.bib Revision:1.8098
- @Article{Vardhan:2016:Measurement,
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author = "Harsha Vardhan and Ankit Garg and Jinhui Li and
Akhil Garg",
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title = "Measurement of Stress Dependent Permeability of
Unsaturated Clay",
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journal = "Measurement",
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year = "2016",
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volume = "91",
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pages = "371--376",
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month = sep,
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keywords = "genetic algorithms, genetic programming, Permeability
prediction, Firouzkouh clay, Permeability modelling,
Stress",
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ISSN = "0263-2241",
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DOI = "doi:10.1016/j.measurement.2016.05.062",
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URL = "http://www.sciencedirect.com/science/article/pii/S0263224116302299",
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abstract = "Unsaturated permeability in soil is useful in
assessment of water consumption by roots and suction
distribution in slopes, which in turn, helps in design
for the stability of slopes/covers. Stress factor is
important in understanding the behaviour of the
unsaturated soils because it has a significant effect
on its permeability as it brings micropores and
minipores changes in the soil structure. Past studies
have often neglected to measure its effect on the
permeability property of the soil. The present study
will introduce an optimization framework of genetic
programming (GP) in developing the explicit relation of
the permeability and the stress of the unsaturated
clay. Experimental validation of the GP model will be
done using the metrics such as the coefficient of
determination, the root mean square error and the mean
absolute percentage error. 2-D analysis of the model
will be useful for experts to monitor the permeability
property unsaturated clay.",
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notes = "Department of Civil and Environmental Engineering,
Indian Institute of Technology, Guwahati",
- }
Genetic Programming entries for
Kurugodu Harsha Vardhan
Ankit Garg
Jinhui Li
Akhil Garg
Citations