## Abstract

Aeroacoustic analogies, in combination with a

hybrid approach, represent a computationally

efficient way to predict sound radiation. The

classical hybrid approach, of first performing an

incompressible flow computation, evaluate the

acoustic sources and finally compute the acous-

tic field does not consider any feedback of the

acoustic field on the flow. Therefore, we propose

the following adapted approach: (1) Perform

a compressible flow simulation on a restricted

domain, which incorporates two-way coupling

of flow and acoustics; (2) Filter the flow data

by Helmholtz´s decomposition, such that we ob-

tain a pure non-radiating field, which the acous-

tic sources are computed with; (3) Perform the

acoustic propagation computation. In this work,

we present the theoretical fundamentals of this

adapted hybrid approach and in particular Helm-

holtz´s decomposition of the flow data using the

finite element method.

hybrid approach, represent a computationally

efficient way to predict sound radiation. The

classical hybrid approach, of first performing an

incompressible flow computation, evaluate the

acoustic sources and finally compute the acous-

tic field does not consider any feedback of the

acoustic field on the flow. Therefore, we propose

the following adapted approach: (1) Perform

a compressible flow simulation on a restricted

domain, which incorporates two-way coupling

of flow and acoustics; (2) Filter the flow data

by Helmholtz´s decomposition, such that we ob-

tain a pure non-radiating field, which the acous-

tic sources are computed with; (3) Perform the

acoustic propagation computation. In this work,

we present the theoretical fundamentals of this

adapted hybrid approach and in particular Helm-

holtz´s decomposition of the flow data using the

finite element method.

Original language | English |
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Title of host publication | Waves 2019 |

Publisher | Teschnische Universität Wien |

Pages | 150 - 151 |

ISBN (Print) | 978-3-200-06511-6 |

DOIs | |

Publication status | Published - 2019 |