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Aircraft noise prediction.

Authors: Joe Posey;

Aircraft noise prediction.

Abstract

Noise has been an issue for airport communities and passengers since the advent of commercial air transport almost a century ago. Impressive gains have been made in aircraft noise control, but expectations are rising and air traffic will at least double in the next 20 years. Also, lighter composite structures pose a challenge for interior noise control. Furthermore, societal expectations for mobility, new technology, demands for carbon footprint minimization, and other environmental imperatives will lead to revolutionary aircraft designs in the future. This tutorial lecture will consider noise from present and future subsonic jet aircraft, rotorcraft, propeller aircraft, and supersonic transports. Noise prediction capabilities will be identified, along with an overview of noise control technology. Acousticians are preparing to predict and control community and interior noise for arbitrary configurations using models based more on first principles, whereas the state-of-the-art is largely semiempirical. It is imperative that acousticians be included in the early stages of the design process and for all design team members to have some exposure to noise control principles to avoid wasting resources on designs that should be nonstarters from the noise perspective.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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