arrow
Return

A subsystem identification method based on the path concept with coupling strength estimation

delete2018-02-01
delete9
delete
OA
AI
J
Jordi Poblet-Puig *
A
Antonio Rodríguez Ferran
DOI:10.1016/j.ymssp.2017.07.043delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
For complex geometries, the definition of the subsystems is not a straightforward task. We present here a subsystem identification method based on the direct transfer matrix, which represents the first-order paths. The key ingredient is a cluster analysis of the rows of the powers of the transfer matrix. These powers represent high-order paths in the system and are more affected than low-order paths by damping. Once subsystems are identified, the proposed approach also provides a quantification of the degree of coupling between subsystems. This information is relevant to decide whether a subsystem may be analysed in a computer model or measured in the laboratory independently of the rest or subsystems or not. The two features (subsystem identification and quantification of the degree of coupling) are illustrated by means of numerical examples: plates coupled by means of springs and rooms connected by means of a cavity. (C) 2017 Elsevier Ltd. All rights reserved.
Keywords:
Path
Subsystem
Transfer matrix
Coupling
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Mechanical Systems and Signal Processing cover
Mechanical Systems and Signal Processing
IF:
8.9
Papers:
1.3W
Citations:
6.6W

Organization

U
universitat politecnica de catalunya
Scholars:
1.9W
Papers: 1.6W
Citations: 17
Cited Papers

Cited Papers

Automatic subsystem identification in statistical energy analysis
err2015-03-01
err12
errOAAI
errDiaz-Cereceda, Cristina; Poblet-Puig, Jordi; Rodriguez-Ferran, Antonio
errShare
errSave
Modelling the interior sound field of a railway vehicle using statistical energy analysis
err2012-04-01
err54
errOAAI
errForssen, Jens; Tober, Stefan; Corakci, Ata Can; Frid, Anders; Kropp, Wolfgang
errShare
errSave
researcher View more