In this work a crack identification method is proposed for bridge type structures carryingmoving vehicle.The bridge ismodeled as\nan Euler-Bernoulli beam, and open cracks exist on several points of the beam. Half-car model is adopted for the vehicle. Coupled\nequations of the beam-vehicle systemare solved usingNewmark-Betamethod, and the dynamic responses of the beamare obtained.\nUsing these and the reference displacements, an objective function is derived. Crack locations and depths are determined by solving\nthe optimization problem. To this end, a robust evolutionary algorithm, that is, the particle swarmoptimization (PSO), is employed.\nTo enhance the performance of the method, themeasured displacements are denoised usingmultiresolution property of the discrete\nwavelet transform (DWT). It is observed that by the proposed method it is possible to determine small cracks with depth ratio 0.1\nin spite of 5% noise interference.
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