
Modelling parametric uncertainties in vibroacoustics using a DEA approach
Dynamical Energy Analysis (DEA) is an approach for studying the vibroacoustic response of complex systems in the high frequency limit. DEA is a transfer operator method for the modelling of phase-space densities (or ray densities) arising in the ray-tracing approximation of a linear
wave problem. It can also be viewed within the same family of methods as Statistical Energy Analysis, since DEA naturally incorporates non-parametric uncertainties by modelling mean energy densities; that is, the mean energy density is approximated without any knowledge of the specific sources
of uncertainty affecting the underlying wave problem. In this work we describe a generalisation of the DEA approach as a stochastic transfer operator method. We discuss the design of appropriate probability density functions, which appear within the stochastic transfer operator, for the modelling
of a number of sources of parametric uncertainty that may arise in vibroacoustic applications.
The requested document is freely available to subscribers. Users without a subscription can purchase this article.
- Sign in below if you have already registered for online access
Sign in
Document Type: Research Article
Affiliations: Nottingham Trent University, United Kingdom
Publication date: 07 December 2017
The Noise-Con conference proceedings are sponsored by INCE/USA and the Inter-Noise proceedings by I-INCE. NOVEM (Noise and Vibration Emerging Methods) conference proceedings are included. All NoiseCon Proceedings one year or older are free to download. InterNoise proceedings from outside the USA older than 10 years are free to download. Others are free to INCE/USA members and member societies of I-INCE.
- Membership Information
- INCE Subject Classification
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content