Publication detail

Identification of Concrete Material Model Parameters Using Optimisation Algorithms

KRÁL, P. HUŠEK, M. HRADIL, P. KALA, J. MAŇAS, P.

Original Title

Identification of Concrete Material Model Parameters Using Optimisation Algorithms

Type

journal article in Scopus

Language

English

Original Abstract

The application of nonlinear material models of concrete within numerical simulations focused on the design of safer and more economical protective concrete structures is currently the subject of investigation of many scientific researchers. However, one basic problem related to the nonlinear modelling of concrete is that very often there is a lack of knowledge about the material model parameters whose values must be defined. The solution to this problem can be what is termed inverse parameter identification, an approach which is presented in this paper. Specifically, the material parameters of the Continuous Surface Cap Model for concrete are identified within this paper using optimisation algorithms. The subsequent comparison of parameter identification results with experimental data shows the efficiency of the presented approach.

Keywords

LS-Dyna, material model of concrete, numerical simulation, optiSLang, parameter identification.

Authors

KRÁL, P.; HUŠEK, M.; HRADIL, P.; KALA, J.; MAŇAS, P.

Released

25. 6. 2018

ISBN

1802-2308

Periodical

Advances in Military Technology

Year of study

2018

Number

1

State

Czech Republic

Pages from

33

Pages to

45

Pages count

13

BibTex

@article{BUT146044,
  author="Petr {Král} and Martin {Hušek} and Petr {Hradil} and Jiří {Kala} and Petr {Maňas}",
  title="Identification of Concrete Material Model Parameters Using Optimisation Algorithms",
  journal="Advances in Military Technology",
  year="2018",
  volume="2018",
  number="1",
  pages="33--45",
  doi="10.3849/aimt.01213",
  issn="1802-2308"
}