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KRÁL, P. HRADIL, P. HUŠEK, M. HOKEŠ, F.
Originální název
Comparison of Responses of Concrete Damage Material Models with Respect to Optimization-Based Material Parameter Identification
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Today, the inverse identification or optimization of material model parameters is very often used to find input parameter values for use in relevant nonlinear material models. These parameter values should enable the responses of structures obtained from numerical simulations to very closely approximate the real responses of such structures obtained from experiments. Due to the popularity of concrete as a construction material, much attention is paid to nonlinear material models that aim to describe its behavior. This paper is focused on the optimization-based inverse identification of the parameters of two related nonlinear concrete material models which are known as the Karagozian & Case Concrete model and the Karagozian & Case Concrete model - Release III. Within this paper, the identification of the material model parameters is performed on the basis of interaction between nonlinear numerical simulations, optimization algorithms and experimental data, the latter of which take the form of a loading curve measured during a triaxial compression test. A comparison of the responses of both of the used material models when the optimized parameters are employed is, of course, part of this paper
Klíčová slova
Concrete damage models; Sensitivity; Evolutionary algorithm; Concrete cylinder; Loading curve
Autoři
KRÁL, P.; HRADIL, P.; HUŠEK, M.; HOKEŠ, F.
Vydáno
21. 7. 2017
ISBN
978-0-7354-1538-6
Kniha
AIP Conference Proceedings
ISSN
1551-7616
Periodikum
Ročník
2017
Číslo
1863
Stát
Spojené státy americké
Strany od
1
Strany do
4
Strany počet
URL
http://doi.org/10.1063/1.4992644
BibTex
@inproceedings{BUT146033, author="Petr {Král} and Petr {Hradil} and Martin {Hušek} and Filip {Hokeš}", title="Comparison of Responses of Concrete Damage Material Models with Respect to Optimization-Based Material Parameter Identification", booktitle="AIP Conference Proceedings", year="2017", journal="AIP Conference Proceedings", volume="2017", number="1863", pages="1--4", doi="10.1063/1.4992644", isbn="978-0-7354-1538-6", issn="1551-7616", url="http://doi.org/10.1063/1.4992644" }