Modelling damping ratio and shear modulus of sand-mica mixtures using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Cevik2008:ESwA1,
-
author = "Abdulkadir Cevik and Ali Firat Cabalar",
-
title = "Modelling damping ratio and shear modulus of sand-mica
mixtures using genetic programming",
-
journal = "Expert Systems with Applications",
-
year = "2009",
-
volume = "36",
-
number = "4",
-
pages = "7749--7757",
-
month = may,
-
keywords = "genetic algorithms, genetic programming, Leighton
Buzzard sand, Mica, Resonant column testing",
-
ISSN = "0957-4174",
-
URL = "http://www.sciencedirect.com/science/article/B6V03-4TGHN90-2/2/78164c859cf3127425aedcca7e6f7d21",
-
DOI = "doi:10.1016/j.eswa.2008.09.010",
-
size = "9 pages",
-
abstract = "This study presents two Genetic Programming (GP)
models for damping ratio and shear modulus of sand-mica
mixtures based on experimental results. The
experimental database used for GP modeling is based on
a laboratory study of dynamic properties of saturated
coarse rotund sand and mica mixtures with various mix
ratios under different effective stresses. In the
tests, shear modulus, and damping ratio of the
geomaterials have been measured for a strain range of
0.001% up to 0.1% using a Stokoe resonant column
testing apparatus. The input variables in the developed
NN models are the mica content, effective stress and
strain, and the outputs are damping ratio and shear
modulus. The performance of accuracies of proposed NN
models are quite satisfactory (R2=0.95 for damping
ratio and R2=0.98 for shear modulus).",
- }
Genetic Programming entries for
Abdulkadir Cevik
Ali Firat Cabalar
Citations