The Next-Generation Constitutive Correlations for Simulation of Cyclic Stress-Strain Behavior of Sand
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Shahnazari:2014:JCEM,
-
author = "Habib Shahnazari and Yasser Dehnavi and
Amir H. Alavi",
-
title = "The Next-Generation Constitutive Correlations for
Simulation of Cyclic Stress-Strain Behavior of Sand",
-
journal = "Journal of Civil Engineering and Management",
-
year = "2015",
-
volume = "21",
-
number = "1",
-
pages = "31--44",
-
month = jan,
-
keywords = "genetic algorithms, genetic programming, cyclic
stress-strain relationship, linear genetic programming,
damping ratio, shear modulus, hardening",
-
DOI = "doi:10.3846/13923730.2013.802726",
-
size = "14 pages",
-
abstract = "This paper presents an innovate approach to simulate
the stress-strain behaviour of sands subjected to large
amplitude regular cyclic loading. New prediction
correlations were derived for damping ratio (D) and
shear modulus (G) of sand using linear genetic
programming (LGP) methodology. The correlations were
developed using several cyclic torsional simple shear
test results. In order to formulate D and G, new
equations were developed to simulate hysteresis
strain-stress curves and maximum shear stress (tau max)
at different loading cycles. A genetic algorithm
analysis was performed to optimize the parameters of
the proposed formulation for stress-strain
relationship. A total of 746 records were extracted
from the simple shear test results to develop the r_max
predictive model. Sensitivity and parametric analyses
were conducted to verify the results. To investigate
the applicability of the models, they were employed to
simulate the stress-strain curves of portions of test
results that were not included in the analysis. The LGP
method precisely characterizes the complex hysteresis
behaviour of sandy soils resulting in a very good
prediction performance. The proposed design equations
may be used by designers as efficient tools to
determine D and G, specifically when laboratory testing
is not possible.",
- }
Genetic Programming entries for
Habib Shahnazari
Yasser Dehnavi
A H Alavi
Citations