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A new method for estimating community noise changes due to aircraft technology variations

A new method for estimating community noise changes due to aircraft technology variations
A new method for estimating community noise changes due to aircraft technology variations
Future air traffic growth forecasts underline the need for new environmental abatement strategies for aviation, involving, among others, the adoption of new aircraft designs and technologies. Accurately predicting the noise impact of these strategies is therefore a matter of significance. The reliability of existing tools is governed by tradeoffs between parameters such as their fidelity level, their dependence on confidential data, as well as the cost and accuracy of experimental data. This paper proposes an innovative, flexible and simplified method for aircraft noise prediction that by-passes the difficulties of existing models. Based on scenarios where community noise levels are known through existing tools or publicly available databases, the proposed method determines variations resulting from aircraft technology changes, such as the increase of the bypass ratio of a turbofan engine. The method shows promise of being applicable to new designs like the wing body aircraft, whereas, by adapting the input variables, it can also estimate the noise impact of changes at operational level. To illustrate the proposed method, which is part of a wider effort to better understand environmental and economic interdependencies, noise estimations are compared to existing NPD data.
Synodinos, Athanasios
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Self, Rod
8b96166d-fc06-48e7-8c76-ebb3874b0ef7
Martinez, Antonio
6dd0d982-fcd6-42b6-9148-211175fd3287
Flindell, Ian
92801193-de59-4b33-af0a-e1a13a77a055
Synodinos, Athanasios
fc4f6dd2-7200-48b4-b0bf-67a2f62dda3b
Self, Rod
8b96166d-fc06-48e7-8c76-ebb3874b0ef7
Martinez, Antonio
6dd0d982-fcd6-42b6-9148-211175fd3287
Flindell, Ian
92801193-de59-4b33-af0a-e1a13a77a055

Synodinos, Athanasios, Self, Rod, Martinez, Antonio and Flindell, Ian (2016) A new method for estimating community noise changes due to aircraft technology variations. 23rd International Congress on Sound & Vibration, , Athens, Greece. 10 - 14 Jul 2016.

Record type: Conference or Workshop Item (Paper)

Abstract

Future air traffic growth forecasts underline the need for new environmental abatement strategies for aviation, involving, among others, the adoption of new aircraft designs and technologies. Accurately predicting the noise impact of these strategies is therefore a matter of significance. The reliability of existing tools is governed by tradeoffs between parameters such as their fidelity level, their dependence on confidential data, as well as the cost and accuracy of experimental data. This paper proposes an innovative, flexible and simplified method for aircraft noise prediction that by-passes the difficulties of existing models. Based on scenarios where community noise levels are known through existing tools or publicly available databases, the proposed method determines variations resulting from aircraft technology changes, such as the increase of the bypass ratio of a turbofan engine. The method shows promise of being applicable to new designs like the wing body aircraft, whereas, by adapting the input variables, it can also estimate the noise impact of changes at operational level. To illustrate the proposed method, which is part of a wider effort to better understand environmental and economic interdependencies, noise estimations are compared to existing NPD data.

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More information

Published date: 10 July 2016
Venue - Dates: 23rd International Congress on Sound & Vibration, , Athens, Greece, 2016-07-10 - 2016-07-14
Organisations: Acoustics Group

Identifiers

Local EPrints ID: 398347
URI: http://eprints.soton.ac.uk/id/eprint/398347
PURE UUID: 569e4ac5-4547-4567-adb2-e08dcaedd48f
ORCID for Antonio Martinez: ORCID iD orcid.org/0000-0002-5915-3736

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Date deposited: 06 Jan 2017 08:45
Last modified: 15 Mar 2024 01:32

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Contributors

Author: Athanasios Synodinos
Author: Rod Self
Author: Antonio Martinez ORCID iD
Author: Ian Flindell

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