Cel This proposal addresses the aeronautical challenge associated with jet-noise modelling. The ultimate goal is to develop, and deliver to industry, a low-cost, semi-empirical modelling tool capable of predicting the noise radiated by a propulsive jet, in an installed configuration in take-off flight conditions. The work is based on the mining of existing high-quality experimental and numerical databases (some of which were produced in previous EU projects, ORINOCO and JERONIMO), the generation of new experimental and numerical databases, and the use of these to build a modelling tool that requires, as input, a small number of parameters typically available from standard industry tools: where the turbulent flow is concerned, Reynolds-Average-Navier-Stokes solvers; and, for sound generation, propagation and scattering from solid surfaces, Boundary-Element-Method based acoustic solvers. The work concentrates on canonical jet and jet-wing systems in static and flight conditions, in order that the key flow physics associated with the turbulent jet, and the interaction of this with the wing and flight stream, be clearly identified, understood and incorporated into a simplified model. Special attention is paid to ensuring that the models be robust and capable of correctly following changes in jet velocity, flight-stream velocity and jet-wing separation. Machine learning and adjoint-based sensitivity analysis will be used to achieve this robustness. A specific workpackage is dedicated to training industry-partner engineers to use the modelling tool. This bridge-to-industry initiative, to be elaborated at the industry partner’s acoustic research department, situates the project between TRLs 4 and 5.The project will contribute to strengthening the competitiveness of the European industry by equipping the industry partner with a fast-return jet-noise modelling tool that will enhance their capacity to conceive low-noise aircraft architectures. Dziedzina nauki natural sciencescomputer and information sciencesdatabasesengineering and technologymechanical engineeringvehicle engineeringaerospace engineeringaircraftnatural sciencesphysical sciencesacousticsnatural sciencescomputer and information sciencesartificial intelligencemachine learning Słowa kluczowe jet noise wavepackets semi-empirical modelling Program(-y) H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme H2020-EU.3.4.5.1. - IADP Large Passenger Aircraft Temat(-y) JTI-CS2-2017-CFP06-LPA-01-29 - Modelling of installed jet noise for UHBR engine integration with forward flight effects Zaproszenie do składania wniosków H2020-CS2-CFP06-2017-01 Zobacz inne projekty w ramach tego zaproszenia System finansowania RIA - Research and Innovation action Koordynator CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Wkład UE netto € 317 412,50 Adres RUE MICHEL ANGE 3 75794 Paris Francja Zobacz na mapie Region Ile-de-France Ile-de-France Paris Rodzaj działalności Research Organisations Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 317 412,50 Uczestnicy (1) Sortuj alfabetycznie Sortuj według wkładu UE netto Rozwiń wszystko Zwiń wszystko THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE Zjednoczone Królestwo Wkład UE netto € 181 801,25 Adres TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge Zobacz na mapie Region East of England East Anglia Cambridgeshire CC Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 181 801,25
