Topology optimization for robust damage localization using aggregated FRFs statistical criteria.
Résumé
This work focuses on the development of a damage localization tool using Topology Op- timization (TO) as a solver for the inverse problem of localization. This approach is based on the correlation of a local stiffness loss and the change in frequencies due to damages. We use the loss in stiffness for updating undamaged numerical models towards similar models with embedded damages. This work is an extension of past work and aims at increasing the detectability of the method using using aggregated Frequency Response Functions (FRFs) statistical criteria. Good results have finally been achieved for the localization of close damages by the Topology Optimization method.
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