Broadband noise generated by the turbulent flow around the airframe is one of the most important components of aircraft generated acoustic nuisances. Its prediction and subsequent reduction is essential for achieving the ACARE 2020 objectives of noise level reductions. However, the complexity and diversity of broadband turbulent noise sources makes that prediction with present numerical tools extremely challenging and far from mature. VALIANT is an upstream research-oriented project, with objective to tackle this challenge by generating new experimental data and validating and improving numerical tools for prediction of airframe noise (AFN) generated from landing gears, slats, flaps and local separation regions. Due to the extremely complex physical nature of the phenomenon and the high computational cost of computing full aircraft configurations on one hand, and a lack of a reliable experimental database on the other hand, VALIANT focuses on key generic test cases representing the major broadband AFN mechanisms associated with multiple body interactions: two-struts (landing gear), wing-flap, slat-wing and gap-turbulence. For all these configurations, the components of the noise prediction chain (for turbulent/source region, near- and far-field propagation domains) and their mutual interactions are evaluated and avenues of improvement developed. It is expected that by validating and improving the predictive tools, a deeper insight into the mechanisms behind AFN will be obtained, which is an essential step towards new efficient AFN reduction concepts and their optimization to achieve the required breakthrough towards quieter aircraft. The consortium is formed by 12 European and Russian partners: 2 universities and 7 research establishments including the most important technology providers to airframe industry, and 3 companies (2 SME) providing dedicated engineering services and software tools in aeroacoustics to transport industries with emphasis on aeronautics.
Fields of science
Call for proposal
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Funding SchemeCP-FP - Small or medium-scale focused research project
197198 Saint Petersburg