Structural sensitivities are often required in dynamic analyses of eng
ineering structures, such as system identification and control, struct
ural modification and optimization; Many different methods have been d
eveloped in the last three decades for the efficient computation of su
ch sensitivities. Though these existing methods have proven to be very
useful tools to structural analysts, they, are restricted to those ca
ses where accurate analytical or finite element models are available.
In many practical applications where sensitivities are needed in the s
olution of troubleshooting problems only limited measured data are ava
ilable; existing methods being inapplicable. In this paper, a new and
effective method has been developed to derive structural design sensit
ivities, both frequency response function sensitivities and eigenvalue
and eigenvector sensitivities, from limited vibration test data. Desi
gn sensitivities calculated directly from measured data are more accur
ate than those calculated from analytical or finite element models sin
ce structural modelling errors are inevitable due to the complexity of
almost all engineering structures. The relationship between frequency
response function sensitivities and eigenvalue and eigenvector sensit
ivities has been established. This relationship provides the theoretic
al basis for the experimental determination of eigenvalue and eigenvec
tor sensitivities. The effect of residue (contribution of out-of-range
modes) upon analysis accuracy has been examined. Detailed numerical a
ssessment based on a turbine bladed disk model as well as experimental
investigation of a beam structure have been conducted and the results
have demonstrated the practicality of the proposed method. (C) 1997 A
cademic Press Limited.