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Measured Engine Installation Effects of Four Civil Transport Airplanes

File Language:
English


Details

  • Creators:
    Senzig, David A. ; Fleming, Gregg G. ; Shepherd, Kevin P.
  • Corporate Creators:
    John A. Volpe National Transportation Systems Center (U.S.)
  • Subject/TRT Terms:
  • Resource Type:
    Proceedings
  • Geographical Coverage:
    United States
  • Corporate Publisher:
    John A. Volpe National Transportation Systems Center (U.S.)
  • Abstract:
    The Federal Aviation Administration's Integrated Noise Model (INM) is one of the primary tools for land use planning around airports 1. The INM currently calculates airplane noise lateral attenuation using the methods contained in the Society of Automotive Engineer's Aerospace Information Report No. 1751 (SAE AIR 1751) 2. Researchers have noted that improved lateral attenuation algorithms may improve airplane noise prediction 3. The authors of SAE AIR 1751 based existing methods on empirical data collected from flight tests using 1960s-technology airplanes with tail-mounted engines. To determine whether the SAE AIR 1751 methods are applicable for predicting the engine installation component of lateral attenuation for airplanes with wing-mounted engines, the National Aeronautics and Space Administration (NASA) sponsored a series of flight tests during September 2000 at their Wallops Flight Facility 4. Four airplanes, a Boeing 767-400, a Douglas DC-9, a Dassault Falcon 2000, and a Beech KingAir, were flown through a 20-microphone array. The airplanes were flown through the array at various power settings, flap settings, and altitudes to simulate take-off and arrival configurations. This paper presents the preliminary findings of this study.
  • Format:
    PDF
  • Download URL:
    https://rosap.ntl.bts.gov/view/dot/9518/dot_9518_DS1.pdf
  • File Type:
    Filetype[PDF - 185.33 KB]
  • Collection(s):
    Volpe Center
  • Main Document Checksum:
    urn:sha-512:c03a537f862d9e67e426b0499ef72745342250cb53d6f79d20d567490b506abc2e5073fb0a346a20321059e891725616713f527c3a0cca292be6aa1b47aee7ad
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