A damage detection and assessment algorithm is developed based on syst
em identification using a finite element model and the measured modal
response of a structure. The measurements are assumed to be sparse and
polluted with noise. A change in an element constitutive property fro
m a baseline value is taken as indicative of damage. An adaptive param
eter grouping updating scheme is proposed to localize the damage zones
in the structure and a Monte Carlo method is used with a data perturb
ation scheme to provide a statistical basis for assessing damage. Dama
ge indices computed from the Monte Carlo sample of data perturbations
are used to assess damage. The threshold values, which distinguish dam
age from measurement noise, are established through Monte Carlo simula
tion on the baseline structure. The proposed algorithm is applied to t
he problem of locating a crack in a cantilever beam. A Bernoulli-Euler
beam model and a plane stress model are employed to illustrate the us
e of the method and compare the efficacy of the two models for crack d
etection. (C) 1996 Academic Press Limited