Abstract
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 generalization 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 vibroacoustics applications.
| Original language | English |
|---|---|
| Publication status | Published - 2017 |
| Externally published | Yes |
| Event | 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 - Hong Kong, China Duration: 27 Aug 2017 → 30 Aug 2017 |
Conference
| Conference | 46th International Congress and Exposition on Noise Control Engineering: Taming Noise and Moving Quiet, INTER-NOISE 2017 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 27/08/17 → 30/08/17 |
Keywords
- Boundary integral methods
- Parametric uncertainties
- Ray tracing
- Statistical energy analysis
Fingerprint
Dive into the research topics of 'Modelling parametric uncertainties in vibroacoustics using a DEA approach'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver