Monte Carlo model of the uncertainty of SEA loss factors

Fernandez, M.J. and Chimeno Manguan, Marcos and López Díez, Jesús and Simon, F. (2010). Monte Carlo model of the uncertainty of SEA loss factors. In: "20th International Congress on Acoustics, ICA 2010", 23/08/2010 - 27/08/2010, Sydney, Australia.

Description

Title: Monte Carlo model of the uncertainty of SEA loss factors
Author/s:
  • Fernandez, M.J.
  • Chimeno Manguan, Marcos
  • López Díez, Jesús
  • Simon, F.
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: 20th International Congress on Acoustics, ICA 2010
Event Dates: 23/08/2010 - 27/08/2010
Event Location: Sydney, Australia
Title of Book: Proceedings of 20 th International Congress on Acoustics, ICA 2010
Date: 2010
Subjects:
Faculty: E.T.S.I. Aeronáuticos (UPM)
Department: Vehículos Aeroespaciales [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (939kB) | Preview

Abstract

Finite Element Methods are widely used to model vibro-acoustic systems, but as the modal density becomes higher this type of model becomes inaccurate and impractical. This is why in the high modal density region the use of Statistical Energy Analysis (SEA) models has become increasingly popular. SEA has some obvious advantages such as its simple formal expression, being based on linear equation systems or the reduced number of variables involved. But SEA has drawbacks as well, such as the absence of local information or the necessity of frequency averaging. A key quantity in SEA models is the loss factor. This takes into account the energy dissipated within a given subsystem or when power flows from one subsystem to another. Even though analytical expressions exist for a number of subsystems of differing nature, the measurement of the loss factor is still advisable and a necessity for a large number of cases. The most commonly used method of measuring loss factors is the Power Injection Method. This method is based on the injection of power into every single subsystem in sequence while the energy in each subsystem is measured. In spite of its simplicity, there remain a number of problems where the accuracy of the results is influenced by various practical issues. In this paper, a Monte Carlo model is used to describe the uncertainty of a two subsystemproblem consisting of two planar elements connected along one side. The influence of the input variables is studied and the conditioning of the coefficient matrix that model the system is also taken into account

More information

Item ID: 9507
DC Identifier: http://oa.upm.es/9507/
OAI Identifier: oai:oa.upm.es:9507
Deposited by: Memoria Investigacion
Deposited on: 14 Nov 2011 13:13
Last Modified: 20 Apr 2016 17:54
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM