DAMAGE DETECTION AND ASSESSMENT OF STRUCTURES FROM STATIC RESPONSE

A damage detection and assessment algorithm is developed based on a pa rameter estimation with an adaptive parameter grouping scheme. Damage is characterized by a reduction in a constitutive property of a parame terized finite-element model between two time-separated inferences. We assume that the baseline parameter values are known. An adaptive para meter grouping scheme is proposed to localize damage in a structural s ystem for which the measured data are sparse. A data perturbation sche me is proposed both for the baseline structure, to establish the damag e threshold above which damage can be confidently discerned from noise , and for the damaged structure, to compute the damage indices. To exa mine and illustrate the damage assessment algorithm, a numerical simul ation study on a planar bowstring truss structure is performed.