Detail publikace

Parameter identification of rheological models using optimization algorithms

Originální název

Parameter identification of rheological models using optimization algorithms

Anglický název

Parameter identification of rheological models using optimization algorithms

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}