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Automatic subsystem identification in statistical energy analysis

Author
Díaz-Cereceda, C.; Poblet-Puig, J.; Rodriguez-Ferran, A.
Type of activity
Journal article
Journal
Mechanical systems and signal processing
Date of publication
2015-03
Volume
54–55
First page
182
Last page
194
DOI
https://doi.org/10.1016/j.ymssp.2014.09.003 Open in new window
Repository
http://hdl.handle.net/2117/24965 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0888327014003458 Open in new window
Abstract
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 it...
Citation
Díaz-Cereceda, C.; Poblet-Puig, J.; Rodriguez, A. Automatic subsystem identification in statistical energy analysis. "Mechanical systems and signal processing", Març 2015, vol. 54–55, p. 182-194.
Keywords
Cluster analysis, Modal analysis, Statistical energy analysis, Substructuring, Vibroacoustics
Group of research
LACÀN - Numerical Methods for Applied Sciences and Engineering

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