Candidate Reduced Order Models for Structural Parameter Estimation
MI Friswell (Aston University)
Journal of Vibration and Acoustics, Vol. 112, No. 1, January 1990, pp. 93-97
This paper considers the reduction of high order models generated by a finite element analysis. The aim is to provide a low order model which retains the effect of parameter changes and so may be used to update the unknown physical structural parameters of the modelled system in the time or frequency domains. After reviewing the methods of structural parameter identification, the available order reduction algorithms and their properties are introduced. Modal truncation is determined to be the most suitable method and the standard algorithm is extended to accommodate unknown parameters. Finally the effect of the reduction process on the modelled receptances is demonstrated.
This material has been published in the Journal of Vibration and Acoustics, Vol. 112, No. 1, January 1990, pp. 93-97, the only definitive repository of the content that has been certified and accepted after peer review. The copyright has been assigned to the American Society of Mechanical Engineers.
Link to paper using doi: 10.1115/1.2930105
Journal of Vibration and Acoustics