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      Bearing Assessment Tool for Longitudinal Bridge Performance 

      García Sánchez, David; Fernández Navamuel del Olmo, Ana ORCID; Zamora Sánchez, Diego; Alvear, Daniel; Pardo Zubiaur, David ORCID (Springer, 2020-11)
      This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection ...
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      Supervised Deep Learning with Finite Element simulations for damage identification in bridges 

      Fernández Navamuel del Olmo, Ana ORCID; Zamora Sánchez, Diego; Omella Milian, Ángel Javier; Pardo Zubiaur, David ORCID; García Sánchez, David; Magalhães, Filipe (Elsevier, 2022-04-15)
      [EN] This work proposes a supervised Deep Learning approach for damage identification in bridge structures. We employ a hybrid methodology that incorporates Finite Element simulations to enrich the training phase of a Deep ...