Ranking paths in statistical energy analysis models with non-deterministic loss factors

Àngels Aragonès, Oriol Guasch

Producción científica: Artículo en revista indizadaArtículorevisión exhaustiva

15 Citas (Scopus)

Resumen

Finding the contributions of transmission paths in statistical energy analysis (SEA) models has become an established valuable tool to detect and remedy vibro-acoustic problems. Paths are identified in SEA according to Craik's definition and recently, very efficient methods have been derived to rank them in the framework of graph theory. However, up to date classification schemes have only considered the mean values of loss factors for path comparison, their variance being ignored. This can result in significant errors in the final results. In this work it is proposed to address this problem by defining stochastic biparametric SEA graphs whose edges are assigned both, mean and variance values. Paths between subsystems are then compared according to a proposed cost function that accounts for the stochastic nature of loss factors. For an efficacious ranking of paths, the stochastic SEA graph is converted to an extended deterministic SEA graph where fast classification deterministic algorithms can be applied. The importance of nonneglecting the influence of the variance in path ranking is illustrated by means of some academic numerical examples.

Idioma originalInglés
Páginas (desde-hasta)741-753
Número de páginas13
PublicaciónMechanical Systems and Signal Processing
Volumen52-53
N.º1
DOI
EstadoPublicada - 2015

Huella

Profundice en los temas de investigación de 'Ranking paths in statistical energy analysis models with non-deterministic loss factors'. En conjunto forman una huella única.

Citar esto