Constitutive modeling of Leighton Buzzard Sands using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Cabalar:2010:NCA,
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title = "Constitutive modeling of Leighton Buzzard Sands using
genetic programming",
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author = "Ali Firat Cabalar and Abdulkadir Cevik and
Ibrahim H. Guzelbey",
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journal = "Neural Computing and Applications",
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year = "2010",
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number = "5",
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volume = "19",
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pages = "657--665",
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keywords = "genetic algorithms, genetic programming",
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publisher = "Springer London",
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ISSN = "0941-0643",
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DOI = "doi:10.1007/s00521-009-0317-4",
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size = "9 pages",
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abstract = "This paper investigates the results of laboratory
experiments and numerical simulations conducted to
examine the behaviour of mixtures composed of coarse
(i.e. Leighton Buzzard Sand fraction B) and fine (i.e.
Leighton Buzzard Sand fraction E) sand particles.
Emphasis was placed on assessing the role of fines
content in mixture and strain level on the deviatoric
stress and pore water pressure generation using
experimental (i.e. Triaxial testing) and numerical
approaches (i.e. genetic programming, GP). The
experimental database used for GP modelling is based on
a laboratory study of the properties of saturated
coarse and fine sand mixtures with various mix ratios
under a 100 kPa effective stresses in a 100 mm diameter
conventional triaxial testing apparatus. Experimental
results show that coarse-fine sand mixtures exhibit
clay-like behavior due to particle-particle effects
with the increase in fines content. It is shown that GP
modeling of coarse-fine sand mixtures is observed to be
quite satisfactory. The results have implications in
the design of compressible particulate systems and in
the development of prediction tools for the field
performance coarse-fine sands.",
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affiliation = "University of Gaziantep Geotechnical Engineering
Division, Department of Civil Engineering Gaziantep
Turkey",
- }
Genetic Programming entries for
Ali Firat Cabalar
Abdulkadir Cevik
Ibrahim H Guzelbey
Citations