Abstract
In order to predict farfield noise created by the flow over complex geometries, high-fidelity flow simulations based on the Lattice-Boltzmann solver PowerFLOW are used in conjunction with the acoustic analogy solver PowerACOUSTICS. Since the flow needs to be spatially and temporally well resolved, the simulations are usually carried on a large number of computational cores for adequate turnaround times. This paper provides the background on the two-step methodology and gives an overview on aero-acoustics computations in aerospace, ranging from an isolated airframe component to the entire aircraft system.
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Duda, B., Fares, E. (2017). Farfield Noise Prediction Using Large-Scale Lattice-Boltzmann Simulations. In: Di Napoli, E., Hermanns, MA., Iliev, H., Lintermann, A., Peyser, A. (eds) High-Performance Scientific Computing. JHPCS 2016. Lecture Notes in Computer Science(), vol 10164. Springer, Cham. https://doi.org/10.1007/978-3-319-53862-4_5
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DOI: https://doi.org/10.1007/978-3-319-53862-4_5
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