Citation:
S. J. Guo, Improvement of a Tail-Plane Structural Model Using Vibration Test
Data, Journal of Sound and Vibration, Volume 256, Issue 4, 26 September 2002,
Pages 647-663.
Abstract:
To achieve the best structural model improvement using vibration test data, a
major effort has been made to identify poor modelling regions as a guideline for
subsequent model updating. The method presented and used in this paper is the
energy error estimation method. In the method the difference between analytical
and test data based energies at element scale is estimated to indicate any poor
structural mass and stiffness modelling. As a result, poor modelling regions can
be distinguished from those modelled correctly and the improvement of the
original structural model can be carried out effectively and accurately. To
demonstrate the application of this method, a full-scale tail-plane structure
has been studied by using simulated "test" modes as a simulated case and using
measured modes as a practical case. In both cases poor modelling regions of the
original structural model have been accurately located. Subsequently, a
significant improvement of the structural model with a reduction of average
frequency error from original 2·2% down to 0·1% for the simulated case and from
4·6 to 1·8% for the practical case has been achie