Sensitivity of Aircraft Runup/Community Noise Predictions to Excess Ground Attenuation.

Abstract

This study examines the sensitivity of aircraft ground runup noise predictions to the accuracy of excess ground attenuation algorithm presently used in NOISEMAP. Day/Night Level (DNL) noise exposure contours were computed for one hour of single engine military power ground runup activity by F-4, C-l3l and C-S aircraft. These aircraft were chosen since they have straight jet, low bypass ratio fan, and high bypass ratio fan engines, propagation algorithms studied were: no excess ground attenuation, standard NOISEMAP excess attenuation, and NOISEMAP excess attenuation plus and minus one standard deviation of the field test data used to develop the present NOISEMAP algorithm. The results showed DNL 65 area changes of approximatelv +-4O percent for the straight jet, + 30 percent for the low bypass ratio fan jet, and up to 10 percent for the high bypass ratio fan jet due to + one standard deviation changes in the attenuation algorithm. Assuming no excess ground attenuation, the results showed the DNL 65 area increased approximately 100- for both the F-4 and C-141 type engines and 4% for the C-S type engines. This study clearly substantiates the need for further field measurements planned by AMRL in 1977 and 1978 to refine or modify the ground propagation algorithm and establish confidence in its accuracy.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1977
Accession Number
ADA301811

Entities

People

  • Thomas C. Dunderdale

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Acoustic Propagation
  • Acoustics
  • Air Force
  • Aircraft Noise
  • Aircrafts
  • Algorithms
  • Biomedical Research
  • Computer Programs
  • Engines
  • Field Tests
  • Frequency
  • Government Procurement
  • Jet Aircraft
  • Measurement
  • Military Aircraft
  • Noise

Readers

  • Aerospace Engineering
  • Computer Programming and Software Development.
  • Mathematics or Statistics