Wave modelling in predictive vibro-acoustics: Applications to rail vehicles and aircraft
| Autor: | Svante Finnveden, Andrew Wareing, Hao Liu, Ulf Orrenius, Vincent Cotoni |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Computer science
business.industry Sound transmission class Applied Mathematics Acoustics Transfer-matrix method (optics) General Physics and Astronomy 02 engineering and technology 01 natural sciences Finite element method Computational Mathematics 020303 mechanical engineering & transports 0203 mechanical engineering Fuselage Transmission (telecommunications) Modeling and Simulation 0103 physical sciences Waveguide (acoustics) Aerospace business Sound pressure 010301 acoustics |
| Zdroj: | Wave Motion. 51:635-649 |
| ISSN: | 0165-2125 |
| DOI: | 10.1016/j.wavemoti.2013.11.007 |
| Popis: | Three different predictive methods based on wave descriptions of the acoustic field are presented and used to calculate transmission and radiation properties of typical rail and aerospace structures. First, a transfer matrix method assesses the sound transmission and wavenumbers of composite sandwich fuselage structures in a wide frequency range. The method is computationally effective and can be used for numerical optimization of sandwich lay-ups common in rail and aerospace engineering. Further, an approach for which a small finite element model of a periodic cell is applied to create a statistical model of a near periodic structure is shown to determine transmission and radiation properties of stiffened fuselage structures and an extruded train floor structure. Finally, a novel combination of the waveguide FE method with the Rayleigh–Ritz method is applied to: (i) calculate the transmission through a double wall structure; (ii) again assess the sound transmission of an extruded floor structure and also (iii) determine the sound pressure inside a large section of a rail car excited by external sound sources. All three methods presented can be used to effectively support decision making in the design process of trains and aircraft. |
| Databáze: | OpenAIRE |
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