A comparison of two different approaches for the damage identification problem
نویسندگان
چکیده
This work deals with a structural damage detection problem using displacement measurements as experimental data to be used by two different methodologies: the conjugate gradient method with the adjoint equation and an artificial neural network. Both techniques have been employed in order to place and quantify the time-variable damage in a simple truss structure. Numerical experiments have been carried out with synthetic experimental data considering a noise level of 1%. Good recoveries have been achieved with both methodologies and estimation errors have been reported in order to make their comparison possible.
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