A nonlinear hypoelastic constitutive relation has been proposed for
the analysis of plane and axisymmetric reinforced concrete structures.
Equivalent uniaxial strain concept introduced by Darwin and Pecknold,
and the stress-strain curve for concrete proposed by Alexander have
been used. A new ultimate strength surface for concrete is proposed.
The back propagation algorithm of Rumelhart et al.1 D. E. Rumelhart,
G. E. Hinton and R. J. Williams, Learning representations by back-propagation
errors. Nature 323, 533–536 (1986) is used to train the artificial
neural network for experimental results of concrete and is used to
describe the ultimate surface. Thus, a new failure criterion for
concrete is proposed. The proposed constitutive model is implemented
in the user friendly finite element package “FENLACS” —(Finite Element
NonLinear Analysis of Concrete Structures). The capability of the
model to analyze a wide variety of structural engineering problems
has been observed. The user friendly features of FENLACS to study
the nonlinear load deflection behavior, crack pattern and principal
stress contours have also been illustrated.
%0 Journal Article
%1 Sankarasubramanian1996
%A Sankarasubramanian, G.
%A Rajasekaran, S.
%D 1996
%I Elsevier
%J Computers & structures
%K ANN concrete modeling
%N 5
%P 1003--1014
%T Constitutive modeling of concrete using a new failure criterion
%V 58
%X A nonlinear hypoelastic constitutive relation has been proposed for
the analysis of plane and axisymmetric reinforced concrete structures.
Equivalent uniaxial strain concept introduced by Darwin and Pecknold,
and the stress-strain curve for concrete proposed by Alexander have
been used. A new ultimate strength surface for concrete is proposed.
The back propagation algorithm of Rumelhart et al.1 D. E. Rumelhart,
G. E. Hinton and R. J. Williams, Learning representations by back-propagation
errors. Nature 323, 533–536 (1986) is used to train the artificial
neural network for experimental results of concrete and is used to
describe the ultimate surface. Thus, a new failure criterion for
concrete is proposed. The proposed constitutive model is implemented
in the user friendly finite element package “FENLACS” —(Finite Element
NonLinear Analysis of Concrete Structures). The capability of the
model to analyze a wide variety of structural engineering problems
has been observed. The user friendly features of FENLACS to study
the nonlinear load deflection behavior, crack pattern and principal
stress contours have also been illustrated.
@article{Sankarasubramanian1996,
abstract = {A nonlinear hypoelastic constitutive relation has been proposed for
the analysis of plane and axisymmetric reinforced concrete structures.
Equivalent uniaxial strain concept introduced by Darwin and Pecknold,
and the stress-strain curve for concrete proposed by Alexander have
been used. A new ultimate strength surface for concrete is proposed.
The back propagation algorithm of Rumelhart et al.[1] [D. E. Rumelhart,
G. E. Hinton and R. J. Williams, Learning representations by back-propagation
errors. Nature 323, 533–536 (1986)] is used to train the artificial
neural network for experimental results of concrete and is used to
describe the ultimate surface. Thus, a new failure criterion for
concrete is proposed. The proposed constitutive model is implemented
in the user friendly finite element package “FENLACS” —(Finite Element
NonLinear Analysis of Concrete Structures). The capability of the
model to analyze a wide variety of structural engineering problems
has been observed. The user friendly features of FENLACS to study
the nonlinear load deflection behavior, crack pattern and principal
stress contours have also been illustrated.},
added-at = {2015-04-15T13:01:01.000+0200},
author = {Sankarasubramanian, G. and Rajasekaran, S.},
biburl = {https://www.bibsonomy.org/bibtex/2f3abaf5452ef23f52ab5a60eb7039c21/v.vitanov},
interhash = {7655b30eba5e7a8a259836da85f551e3},
intrahash = {f3abaf5452ef23f52ab5a60eb7039c21},
journal = {Computers \& structures},
keywords = {ANN concrete modeling},
number = 5,
owner = {vladimir},
pages = {1003--1014},
publisher = {Elsevier},
timestamp = {2015-04-16T09:20:21.000+0200},
title = {Constitutive modeling of concrete using a new failure criterion},
volume = 58,
year = 1996
}