2018
DOI: 10.14279/depositonce-6712
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Development of an aircraft noise emission model accounting for flight parameters

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Cited by 2 publications
(8 citation statements)
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“…The aircraft-specific noise emission models available in sonAIR are based on a set of multiple linear regression equations derived from a measurement dataset of real air traffic covering a wide range of typical aircraft operations [18]. A comprehensive validation study of the sonAIR emission models is provided in the work of Jäger et al [5].…”
Section: Sonair-based Noise Emission Modelmentioning
confidence: 99%
“…The aircraft-specific noise emission models available in sonAIR are based on a set of multiple linear regression equations derived from a measurement dataset of real air traffic covering a wide range of typical aircraft operations [18]. A comprehensive validation study of the sonAIR emission models is provided in the work of Jäger et al [5].…”
Section: Sonair-based Noise Emission Modelmentioning
confidence: 99%
“…The computational predictions of the environmental noise caused by aircraft operations are hereby conducted using the software sonAIR [24]. The aircraft-specific noise emission models [16,37] available in sonAIR are based on a set of linear regression equa-tions derived from a database of experimental measurements covering a wide range of typical aircraft operations and flight configurations [37]. The overall noise emission is modeled as three-dimensional frequency-dependent directivity patterns accounting for the engine and airframe noise contributions, separately.…”
Section: Aircraft Noise Simulationmentioning
confidence: 99%
“…As discussed in Section 2.3, one characteristic of the simulation framework used by the software sonAIR is that the engine noise emissions are modeled using the N1 as the main parameter describing the engine settings. The use of N1 to model the engine noise instead of thrust, as commonly used by BPM [49,50], is justified by the fact that the N1 can describe the noise generated by the fan and the jet flow, the two dominant noise sources of a turbofan engine, as a parameter [16,37].…”
Section: Influence Of the N1 Valuesmentioning
confidence: 99%
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