International audienceThe article aims at detecting and quantifying early structural damages usingdeterministic and probabilistic model updating techniques. To achieve this purpose,local information in a form of optical strain measurement is employed. Thestrategy consists in updating physical parameters associated to damages, suchas Young’s modulus, in order to minimize the gap between the numerical strainobtained from finite element solves and the strain sensor outputs. Generally,the damage estimation is an ill-posed inverse problem, and hence requires regularization.Herein, three model updating techniques are considered involvingdifferent type of regularization: classical Tikhonov regularization, ConstitutiveRelation Error based updating method and Bayesian approach.An illustration of these three approaches is proposed for localizing and quantifyingan early damage in a real 8 meter post-tensioned concrete beam. Numericalresults show that all the methods properly localize the damaged areaand give similar estimation of the damage leve
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