Damage assessment of reinforced concrete (RC) columns retrofitted by advanc
ed composite jackets was experimentally and analytically studied. The write
rs built two half-scale bridge columns, wrapped them with the composite jac
kets, and subjected them to cyclic loading to introduce moderate and severe
levels of damage to the columns. Vibration tests using a shaker were perfo
rmed on these columns before and after jacketing and under undamaged and da
maged conditions. The neural network technique was effective in estimating
change (representative of damage) in the stiffness based on the measured vi
bration characteristics. The frequencies and mode shapes of the columns det
ermined from the vibration tests and computed on the basis of the estimated
stiffness showed excellent agreement. Pertinent to the purpose of the pres
ent study is the success of quantification of the extent and location of st
iffness degradation due to different levels of damage. Degradation of the s
hear stiffness as well as the flexural stiffness in the lap splice region,
especially in the I-in. unwrapped gap portion, of the column was a key para
meter to represent the damage.