Graph theory applied to noise and vibration control in statistical energy analysis models

Oriol Guasch, Lluís Cort́s

Producció científica: Article en revista indexadaArticleAvaluat per experts

22 Cites (Scopus)

Resum

A fundamental aspect of noise and vibration control in statistical energy analysis (SEA) models consists in first identifying and then reducing the energy flow paths between subsystems. In this work, it is proposed to make use of some results from graph theory to address both issues. On the one hand, linear and path algebras applied to adjacency matrices of SEA graphs are used to determine the existence of any order paths between subsystems, counting and labeling them, finding extremal paths, or determining the power flow contributions from groups of paths. On the other hand, a strategy is presented that makes use of graph cut algorithms to reduce the energy flow from a source subsystem to a receiver one, modifying as few internal and coupling loss factors as possible.

Idioma originalAnglès
Pàgines (de-a)3657-3672
Nombre de pàgines16
RevistaJournal of the Acoustical Society of America
Volum125
Número6
DOIs
Estat de la publicacióPublicada - 2009

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