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Identification of Parameters of the Dynamic Model of the Reactor WWER 1000 Support Cylinder by Spectral Tuning

Citace: [] MUSIL, A., HLAVÁČ, Z. Identification of Parameters of the Dynamic Model of the Reactor WWER 1000 Support Cylinder by Spectral Tuning. In Engineering Mechanics 2007. Prague: Institute of Thermomechanics, Academy of Sciences of the Czech Republic, 2007. s. 1-10. ISBN: 978-80-87012-06-2
Druh: STAŤ VE SBORNÍKU
Jazyk publikace: cze
Anglický název: Identification of Parameters of the Dynamic Model of the Reactor WWER 1000 Support Cylinder by Spectral Tuning
Rok vydání: 2007
Místo konání: Prague
Název zdroje: Institute of Thermomechanics, Academy of Sciences of the Czech Republic
Autoři: Aleš Musil , Zdeněk Hlaváč
Abstrakt CZ: Dynamic body-beam model of the support cylinder had 15 degrees of freedom. Computational FEM model was set up in COSMOS/M computer code as a thin-wall vessel. The aim of the paper was to identify mass parameters of stiff bodies and geometric, eventually material parameters in order to achieve the eigenfrequencies of the first bending, torsional, and longitudinal mode shape of the FEM model. Relative sensitivities of the eigenfrequencies on the changes of chosen design parameters were determined by analytical approach. Based on the sensitivity determination, spectral tuning problem was formulated as an optimization problem with simple restrictions imposed on the parameters.
Abstrakt EN: Dynamic body-beam model of the support cylinder had 15 degrees of freedom. Computational FEM model was set up in COSMOS/M computer code as a thin-wall vessel. The aim of the paper was to identify mass parameters of stiff bodies and geometric, eventually material parameters in order to achieve the eigenfrequencies of the first bending, torsional, and longitudinal mode shape of the FEM model. Relative sensitivities of the eigenfrequencies on the changes of chosen design parameters were determined by analytical approach. Based on the sensitivity determination, spectral tuning problem was formulated as an optimization problem with simple restrictions imposed on the parameters.
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