Publication detail

Parameter identification of rheological models using optimization algorithms

PÍŠTĚK, V. NOVOTNÝ, P. MAUDER, T. KLIMEŠ, L.

Original Title

Parameter identification of rheological models using optimization algorithms

English Title

Parameter identification of rheological models using optimization algorithms

Type

conference paper

Language

en

Original Abstract

The paper presents results of the application of optimization software GAMS and CONOPT solver for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally set frequency-dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. The CONOPT solver has shown a significantly faster convergence and better accuracy of the calculation compared with the classical non-linear Gauss-Newton least square optimization technique.

English abstract

The paper presents results of the application of optimization software GAMS and CONOPT solver for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally set frequency-dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. The CONOPT solver has shown a significantly faster convergence and better accuracy of the calculation compared with the classical non-linear Gauss-Newton least square optimization technique.

Keywords

multi-parametric rheological models, optimization, CONOPT, GAMS

RIV year

2013

Released

07.10.2013

Publisher

Springer-Verlag

ISBN

978-3-319-02293-2

Book

Mechatronics 2013: Recent Technological and Scientific Advances

Pages from

193

Pages to

198

Pages count

6

Documents

BibTex


@inproceedings{BUT101881,
  author="Václav {Píštěk} and Pavel {Novotný} and Tomáš {Mauder} and Lubomír {Klimeš}",
  title="Parameter identification of rheological models using optimization algorithms",
  annote="The paper presents results of the application of optimization software GAMS and CONOPT solver for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally set frequency-dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. The CONOPT solver has shown a significantly faster convergence and better accuracy of the calculation compared with the classical non-linear Gauss-Newton least square optimization technique.",
  address="Springer-Verlag",
  booktitle="Mechatronics 2013: Recent Technological and Scientific Advances",
  chapter="101881",
  howpublished="print",
  institution="Springer-Verlag",
  year="2013",
  month="october",
  pages="193--198",
  publisher="Springer-Verlag",
  type="conference paper"
}