Santiago Londono Lopez
Dynamic Identification of confined masonry for existing buildings via AI techniques.
Rel. Marco Domaneschi, Raffaele Cucuzza. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Civile, 2023
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Abstract
Regarding the conservation and retrofitting of existing structures, several methodologies have been studied and new techniques have been implemented over the last decade. Nowadays the improvement in Structural Health Monitoring (SHM) technologies, sensor data collection and specific survey procedures lead to a deep knowledge of the status of existing structures and allows to provide accurate modelling. Specifically, the assessment of the dynamic behaviour of existing buildings can be considered as one of the main tasks for researchers. Within this context, two confined masonry buildings located in the south of Italy were adopted as case studies with the aim of conducting the dynamic identification and assessing their dynamic behaviour.
Different configuration layouts of the sensors have been implemented to perform the monitoring phase using the optimal sensor placement procedure in order to detect the modal parameters
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