Identification of Concrete Material Model Parameters Using Optimisation Algorithms

Petr Král; Martin Hušek; Petr Hradil; Jiří Kala; Pavel Maňas

doi:10.3849/aimt.01213

Authors

Petr Král Faculty of Civil Engineering, Brno University of Technology, Czech Republic
Martin Hušek Faculty of Civil Engineering, Brno University of Technology, Czech Republic
Petr Hradil Faculty of Civil Engineering, Brno University of Technology, Czech Republic
Jiří Kala Faculty of Civil Engineering, Brno University of Technology, Czech Republic
Pavel Maňas Faculty of Military Technology, University of Defence in Brno, Czech Republic

DOI:

https://doi.org/10.3849/aimt.01213

Keywords:

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

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 precision of the presented approach.

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