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DLR Rotorcraft Noise Ground Footprints Model: HEMISPHERE, User Handbook , Release 1.0, Institut für Aerodynamik und Strömungstechnik (AS)

Yin, Jianping (2005) DLR Rotorcraft Noise Ground Footprints Model: HEMISPHERE, User Handbook , Release 1.0, Institut für Aerodynamik und Strömungstechnik (AS). sonstiger Bericht. 12 S.

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Kurzfassung

This handbook gives an overview of DLR Rotorcraft Noise Ground Footprints Model HEMISPHERE. This modular system is the basis for work on the prediction of flyover noise using either purely theoretical computation as input on a hemispherical “noise source” surface beneath the aircraft or measured sound fields on the ground. The present release contains both reverse propagation procedure and propagation procedure. Multi-segment quasi unsteady procedure can be considered. In propagation procedure, the hemispherical sound field in narrow band spectrum together with weather profile, flight trajectory and conditions are provided to a flyover noise prediction code, HEMISPHERE (propagation procedure) to fulfill footprints prediction. A flight trajectory may consist of a number of flight segments such as take-off, level flight and descent. For each of these flight sequences, a separate noise source surface is generated. Knowing the flight trajectory and the flight condition, the relevant noise source surface is moved along the flight segment with the desired speed. The propagation of the noise on to the ground is treated as “free” propagation with consideration of Doppler effect correction, spherical spreading, atmospheric absorption and ground reflection. To generate the noise footprints, the overflown area is overlaid with a lattice of discrete points. With a step by step movement of the noise source surface along the flight trajectory, the perceived noise on the ground is obtained as a sound pressure level time history at each ground point which is processed to obtain the desired noise metric. A contour plot routine uses the data to map the foot print. The second methodology of generating acoustic ground footprints is to use measured acoustic data which were collected from e.g. a microphone array as input into the HEMISPHERE code to enable an estimation of acoustic footprints in a large area which were not directly measured. The ground to hemisphere transformation or reverse propagation procedure embedded in HEMISPHERE code is first used to transform ground measured acoustic data to a hemisphere surface beneath rotorcraft. The transformations are fulfilled by correcting for spherical spreading, atmosphere absorbing and ground reflection. The measured data including weather profile data, flight trajectory data and acoustic spectrum data are used in the reverse propagation procedure. After obtaining a free field lower hemisphere sound field, the propagation procedure in HEMISPHERE code can then be used for a footprint on a user-defined grid of observer locations.

elib-URL des Eintrags:https://elib.dlr.de/22467/
Dokumentart:Berichtsreihe (sonstiger Bericht)
Titel:DLR Rotorcraft Noise Ground Footprints Model: HEMISPHERE, User Handbook , Release 1.0, Institut für Aerodynamik und Strömungstechnik (AS)
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Yin, JianpingInstitut für Aerodynamik und Strömungstechnik,Abteilung Technische AkustikNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:9 Mai 2005
Open Access:Nein
Seitenanzahl:12
Status:veröffentlicht
Stichwörter:DLR Rotorcraft Noise Ground Footprints Model HEMISPHERE, reverse propagation procedure and propagation,Multi-segment quasi unsteady procedure
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Luftfahrt
HGF - Programmthema:Drehflügler (alt)
DLR - Schwerpunkt:Luftfahrt
DLR - Forschungsgebiet:L RR - Drehflüglerforschung
DLR - Teilgebiet (Projekt, Vorhaben):L - Der leise und komfortable Drehflügler (alt)
Standort: Braunschweig
Institute & Einrichtungen:Institut für Aerodynamik und Strömungstechnik > Technische Akustik
Hinterlegt von: Yin, Dr.-Ing. Jianping
Hinterlegt am:03 Mär 2006
Letzte Änderung:27 Apr 2009 05:01

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