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Robust estimation of coupling loss factors from finite element analysis

Robust estimation of coupling loss factors from finite element analysis
Robust estimation of coupling loss factors from finite element analysis
There are well-established techniques by which the coupling loss factors (CLFs) of statistical energy analysis (SEA) can be estimated from finite element analysis (FEA). These are typically based on a single, selected system. A slightly different choice of system would give different estimates. There is a need for robust methods that give good estimates of the SEA average CLFs, independent of the details of the chosen system. Estimates of variance, confidence limits, are also of interest. Two approaches to this problem are discussed. These involve attempts to randomise the properties of the system and averaging the resulting estimates, but without repeating the full FEA. The first involves perturbation of component modal properties which can be related to perturbations in the modes of the assembled structure and hence to the energies and CLFs. In the second approach, it is assumed that the statistics of the modal properties of the system analysed are a fair representation, when taken over a wide enough frequency range, of the statistics of the modes of the SEA ensemble. The modes of the system are then randomly sampled to provide robust estimates. Numerical examples are presented. The methods are computationally very cheap.
0022-460X
814-831
Thite, A.N.
c3db753e-656c-4efe-9195-398ac5e7f6eb
Mace, B.R.
cfb883c3-2211-4f3a-b7f3-d5beb9baaefe
Thite, A.N.
c3db753e-656c-4efe-9195-398ac5e7f6eb
Mace, B.R.
cfb883c3-2211-4f3a-b7f3-d5beb9baaefe

Thite, A.N. and Mace, B.R. (2007) Robust estimation of coupling loss factors from finite element analysis. Journal of Sound and Vibration, 303 (3-5), 814-831. (doi:10.1016/j.jsv.2007.02.004).

Record type: Article

Abstract

There are well-established techniques by which the coupling loss factors (CLFs) of statistical energy analysis (SEA) can be estimated from finite element analysis (FEA). These are typically based on a single, selected system. A slightly different choice of system would give different estimates. There is a need for robust methods that give good estimates of the SEA average CLFs, independent of the details of the chosen system. Estimates of variance, confidence limits, are also of interest. Two approaches to this problem are discussed. These involve attempts to randomise the properties of the system and averaging the resulting estimates, but without repeating the full FEA. The first involves perturbation of component modal properties which can be related to perturbations in the modes of the assembled structure and hence to the energies and CLFs. In the second approach, it is assumed that the statistics of the modal properties of the system analysed are a fair representation, when taken over a wide enough frequency range, of the statistics of the modes of the SEA ensemble. The modes of the system are then randomly sampled to provide robust estimates. Numerical examples are presented. The methods are computationally very cheap.

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Published date: 20 June 2007

Identifiers

Local EPrints ID: 49561
URI: http://eprints.soton.ac.uk/id/eprint/49561
ISSN: 0022-460X
PURE UUID: 0e0b825d-5bcc-4969-8b47-d0295cfe2690
ORCID for B.R. Mace: ORCID iD orcid.org/0000-0003-3312-4918

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Date deposited: 16 Nov 2007
Last modified: 15 Mar 2024 09:57

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Contributors

Author: A.N. Thite
Author: B.R. Mace ORCID iD

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