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Automatic subsystem identification in statistical energy analysis
Díaz Cereceda, Cristina; Poblet-Puig, Jordi; Rodríguez Ferran, Antonio
Universitat Politècnica de Catalunya. Departament d'Infraestructura del Transport i el Territori; Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada III; Universitat Politècnica de Catalunya. LACÀN - Centre Específic de Recerca de Mètodes Numèrics en Ciències Aplicades i Enginyeria
An automatic methodology for identifying SEA (statistical energy analysis) subsystems within a vibroacoustic system is presented. It consists in dividing the system into cells and grouping them into subsystems via a hierarchical cluster analysis based on the problem eigenmodes. The subsystem distribution corresponds to the optimal grouping of the cells, which is defined in terms of the correlation distance between them. The main advantages of this methodology are its automatic performance and its applicability both to vibratory and vibroacoustic systems. Moreover, the method allows the definition of more than one subsystem in the same geometrical region when required. This is the case of eigenmodes with a very different mechanical response (e.g. out-of-plane or in-plane vibration in shells).
Àrees temàtiques de la UPC::Enginyeria mecànica::Mecànica::Vibracions mecàniques
Vibration--Measurement
Statistical energy analysis
Vibroacoustics
Modal analysis
Cluster analysis
Substructuring
Vibració -- Mesurament
info:eu-repo/semantics/submittedVersion
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