A model was developed and applied for predicting the vibration response of
structures excited by complex vortical turbulent flows. Computational fluid
dynamic (CFD) methods were utilized to model the flow over the structure.
The computations allowed the general flow patterns to be identified and the
mean properties of the flow field to be calculated. The spectral character
istics of the dynamic wall pressure fluctuations were obtained from an empi
rical database developed from genetically similar flows. The Corcos model w
as used to characterize the dynamic surface pressure cross-spectra. The pow
er input into the structure was estimated accounting for the non-uniform dy
namic pressure loading on the structure. The energy flow analysis (EFA) met
hod was then used to predict the high-frequency structural vibration respon
se and the radiated sound power. The frequency limit of the accuracy of the
model was established. The model was applied to the case of a clamped rect
angular homogeneous panel excited by vortical flows. The model predictions
were verified experimentally for the case of an aluminium panel installed i
n a low-speed wind tunnel downstream of three-dimensional vortex generators
. The wall pressure fluctuations, the plate transverse vibration velocity,
and the acoustic pressure radiated from the plate were measured over a rang
e of mean flow velocities. The measured surface pressure spectra beneath th
e coherent flow structures formed behind the vortex generators were found t
o be similar to those behind uniform fences at high frequencies. This confi
rmed that high-frequency wall pressure fluctuations depend on fine grain tu
rbulence rather than on the large-scale flow structures. The measured panel
vibration responses, and the radiated acoustic pressure levels were found
to agree well with model predictions at frequencies above the model predict
ability threshold. The proposed modelling approach offers the opportunity t
o develop tools that could assist the vibro-acoustic design of complex flow
-excited systems such as vehicles, or fluid machinery. (C) 2001 Academic Pr
ess.