This paper describes an experimental study on the use of Ritz vectors for d
amage detection of a grid-type bridge model. A new procedure to extract Rit
z vectors from experimental modal analysis is proposed and demonstrated usi
ng the test structure. The extracted Ritz vectors are then used for the dam
age detection of the test structure using a Bayesian probabilistic approach
. Using appropriate load patterns, Ritz vectors can be made more sensitive
to damage than modal vectors. The results indicate that the use of load-dep
endent Ritz vectors produce better damage diagnoses than the modal vectors.
The Bayesian probabilistic approach is shown to give better diagnostic res
ults than commonly used deterministic methods.