Analysis of acoustic networks including cavities by means of a linear finite volume method

[EN] A procedure allowing for the analysis of complex acoustic networks, including three-dimensional cavities described in terms of zero-dimensional equivalent elements, is presented and validated. The procedure is based on the linearization of the finite volume method often used in gas-dynamics, wh...

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Detalles Bibliográficos
Autores: Torregrosa, A. J.|||0000-0003-0933-1626, Broatch, A.|||0000-0001-9991-1039, Gil, A.|||0000-0001-7192-6992, Moreno Martínez, David
Tipo de recurso: artículo
Fecha de publicación:2012
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/84436
Acceso en línea:https://riunet.upv.es/handle/10251/84436
Access Level:acceso abierto
Palabra clave:Acoustic network
Finite volume
Acoustical cavities
INGENIERIA AEROESPACIAL
MAQUINAS Y MOTORES TERMICOS
Descripción
Sumario:[EN] A procedure allowing for the analysis of complex acoustic networks, including three-dimensional cavities described in terms of zero-dimensional equivalent elements, is presented and validated. The procedure is based on the linearization of the finite volume method often used in gas-dynamics, which is translated into an acoustic network comprising multi-ports accounting for mass exchanges between the finite volumes, and equivalent 2-ports describing momentum exchange across the volume surfaces. The application of the concept to a one-dimensional case shows that it actually converges to the exact analytical solution when a sufficiently large number of volumes are considered. This has allowed the formulation of an objective criterion for the choice of a mesh providing results with a prefixed error up to a certain Helmholtz number, which has been generalized to three-dimensional cases. The procedure is then applied to simple but relevant three-dimensional geometries in the absence of a mean flow, showing good agreement with experimental and other computational results.