An advanced hybrid method for the acoustic prediction |
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| Affiliation: | 1. Department of Mechanics, Kim Il Sung University, Pyong Yang, D. P. R. Korea;2. School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin 150090, China;3. State Key Laboratory of Urban Water Resource and Environment, Harbin Institute of Technology, Harbin 150090, China;4. School of Energy and Architecture, Harbin University of Commerce, Harbin 150028, China;1. McGill University, Department of Mechanical Engineering, Macdonald Engineering Building, Room 270, 817 Sherbrooke Street West, Montreal, Quebec, Canada H3A 0C3;2. Podgorny Institute for Mechanical Engineering, National Academy of Science of Ukraine, Department of Vibrations, 2/10 Dm. Pozharskogo St., 61046 Kharkiv, Ukraine;3. Department of Gas and Fluid Mechanics, National Technical University “KhPI”, Frunze St. 21, Kharkiv 61002, Ukraine;1. University of Genoa, Genoa, Italy;2. SISTEMAR S.A., Madrid, Spain;1. Department of Naval Architecture, Marine Engineering, Electrical Engineering, Electronic Engineering and Telecommunication Engineering (DITEN), University of Genoa, Genoa, Italy;2. SSPA, Gothenburg, Sweden;3. Department of Civil, Chemical and Environmental Engineering (DICCA), University of Genoa, Genoa, Italy |
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| Abstract: | The present article proposes an advanced methodology for numerically simulating complex noise problems. More precisely, we consider the so-called multi-stage acoustic hybrid approach, which principle is to couple sound generation and acoustic propagation stages. Under that approach, we propose an advanced hybrid method which acoustic propagation stage relies on Computational AeroAcoustics (CAA) techniques. To this end, first, an innovative weak-coupling technique is developed, which allows an implicit forcing of the CAA stage with a given source signal coming from an a priori evaluation, whether the latter evaluation is of analytical or computational nature. Then, thanks to additional innovative solutions, the resulting CAA-based hybrid approach is optimized so that it can be applied to realistic and complex acoustic problems in an easier and safer way. All these innovative features are then validated on the basis of an academic test case, before the resulting advanced CAA-based hybrid methodology is applied to two problems of flow-induced noise radiation. This demonstrates the ability of the here proposed method to address realistic problems, by offering to handle at the same time both acoustic generation and propagation phenomena, despite their intrinsic multiscale character. |
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| Keywords: | Acoustics Prediction Computational acoustics Hybrid method Weak coupling Optimization |
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