Numerical modeling of stress-strain behavior of sand under cyclic loading
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Shahnazari:2010:EG,
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author = "Habib Shahnazari and Yasser Dehnavi and
Amir Hossein Alavi",
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title = "Numerical modeling of stress-strain behavior of sand
under cyclic loading",
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journal = "Engineering Geology",
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year = "2010",
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volume = "116",
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number = "1-2",
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pages = "53--72",
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month = "27 " # oct,
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keywords = "genetic algorithms, genetic programming, Cyclic stress
vs strain relationship, Formulation, Multi expression
programming, Damping ratio, Shear modulus",
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ISSN = "0013-7952",
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URL = "http://www.sciencedirect.com/science/article/B6V63-50M1RXX-3/2/0525115fe0c0708d0880543b8a3259e5",
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DOI = "doi:10.1016/j.enggeo.2010.07.007",
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size = "20 pages",
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abstract = "Analysis of soil response to cyclic loading is a
complex problem due to the participation of a large
number of loading conditions and physical properties.
In this study, a promising variant of genetic
programming (GP), namely multi expression programming
(MEP) is used to model stress-strain behaviour of sands
subjected to large amplitude regular cyclic loading.
Generalised MEP-based formulations are derived to
simulate hysteresis strain-stress curves. To construct
the hysteresis curves, functional relationships are
obtained between maximum shear stress at different
loading cycles and several influencing parameters. New
constitutive correlations are further developed for the
assessment of damping ratio and shear modulus. The
proposed correlations are established based on several
drained strain-controlled cyclic torsional simple shear
tests performed on samples of Toyoura sand. The
correlations take into account the effects of initial
effective confining pressure, initial relative density,
initial anisotropic stress state, strain amplitude, and
shear history. A subsequent parametric study is carried
out and the obtained trends are confirmed with the
experimental study results. For more validity
verification, the MEP-based correlations are applied to
simulate the stress-strain curves of a part of the
laboratory results beyond the training data domain. The
proposed models are effectively capable of capturing
the complex hysteresis behaviour of sandy soils under
cyclic loading conditions. The derived correlations are
particularly valuable for providing an analysis tool
accessible to practising engineers.",
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notes = "College of Civil Engineering, Iran University of
Science & Technology, Tehran, Iran",
- }
Genetic Programming entries for
Habib Shahnazari
Yasser Dehnavi
A H Alavi
Citations