Detail publikace

Nonlinear optimization of generalized Kelvin-model parameters with the use of mathematical programming

Originální název

Nonlinear optimization of generalized Kelvin-model parameters with the use of mathematical programming

Anglický název

Nonlinear optimization of generalized Kelvin-model parameters with the use of mathematical programming

Jazyk

en

Originální abstrakt

The article shows results of the use of mathematical programming approach for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally determined frequency dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. A generalized Kelvin model has been used for rubber silentblocks for automotive use. The nonlinear optimization methods have shown a significantly faster convergence and better accuracy of the calculation compared with the previously used classical non-linear Gauss-Newton least square optimization technique.

Anglický abstrakt

The article shows results of the use of mathematical programming approach for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally determined frequency dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. A generalized Kelvin model has been used for rubber silentblocks for automotive use. The nonlinear optimization methods have shown a significantly faster convergence and better accuracy of the calculation compared with the previously used classical non-linear Gauss-Newton least square optimization technique.

Dokumenty

BibTex


@inproceedings{BUT110131,
  author="Václav {Píštěk} and Tomáš {Mauder} and Lubomír {Klimeš}",
  title="Nonlinear optimization of generalized Kelvin-model parameters with the use of mathematical programming",
  annote="The article shows results of the use of mathematical programming approach for nonlinear optimization problems to identify multi-parameter elastomer rheological models. The solution is based on the experimentally determined frequency dependent dynamic stiffness of the elastomeric parts. Measured waveforms of dynamic stiffness are approximated using multi-parameter rheological models. A generalized Kelvin model has been used for rubber silentblocks for automotive use. The nonlinear optimization methods have shown a significantly faster convergence and better accuracy of the calculation compared with the previously used classical non-linear Gauss-Newton least square optimization technique.",
  address="Kaunas University of Technology, K. Donelaičio st. 73, LT-44029 Kaunas",
  booktitle="Proceeding of International Conference Transport Means 2014",
  chapter="110131",
  howpublished="print",
  institution="Kaunas University of Technology, K. Donelaičio st. 73, LT-44029 Kaunas",
  number="1",
  year="2014",
  month="october",
  pages="277--280",
  publisher="Kaunas University of Technology, K. Donelaičio st. 73, LT-44029 Kaunas",
  type="conference paper"
}