Abstract: This paper proposed an approach for estimating the parameters of the location and size of damage in structure along with the associated uncertainties using I3ayes' Theorem and micro genetic algorithm mGA). After obtaining the measured information, combined with the damage model, the posterior probability density function (PDF) of the pares meters of the damage was updated according to the Bayes' Theorem, thus the damage was identified with uncertainties.To maximize the updated PDF of damage parameters, mGA was employed to search out the global optimum values of damage parameters. The proposed approach was applied to damage identification for plate structure, and numerical study was performed to demonstrate its effectiveness.

Key words: Baycs'theorem,mGA,Damage idcntification,Uncertainty