The effect of using N1% as input for aircraft noise modelling

For models that evaluate aircraft noise, thrust is an essential input. From aircraft flight recorder data or measured noise spectra, the engine’s rotational speed can be estimated for which a conversion is then needed to obtain the engine’s thrust. This research investigates three conversion methods. The first uses the expressions from the ANP database while the second method is based on the fuel flow. The third employs Gas Turbine Simulation Program (GSP) predictions. The thrust estimates are compared to airline performance calculations where significant variations up to 3 dBA in predicted noise were found. Methods one and three were found to be in good agreement with the performance data. An important finding of this paper is that combining methods one and three using least-squares is capable of providing the required conversion expressions, in line with those in the ANP database, but without being limited to a few aircraft types only.

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Publication Details

Journal
Transportation Research Part D Transport and Environment
Published
2025-03-20
DOI
https://doi.org/10.1016/j.trd.2025.104710
Citations
2
Primary Topic
Noise Effects and Management
Type
article
Field-Weighted Citation Impact
6.24
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article

The effect of using N1% as input for aircraft noise modelling

Mirjam Snellen, Alireza Amiri-Simkooei, Rebekka C. van der Grift
2 citations
Transportation Research Part D Transport and Environment
Noise Effects and Management
6.24
article

The effect of using N1% as input for aircraft noise modelling

Mirjam Snellen, Alireza Amiri-Simkooei, Rebekka C. van der Grift
article en
2 citations

Abstract

For models that evaluate aircraft noise, thrust is an essential input. From aircraft flight recorder data or measured noise spectra, the engine’s rotational speed can be estimated for which a conversion is then needed to obtain the engine’s thrust. This research investigates three conversion methods. The first uses the expressions from the ANP database while the second method is based on the fuel flow. The third employs Gas Turbine Simulation Program (GSP) predictions. The thrust estimates are compared to airline performance calculations where significant variations up to 3 dBA in predicted noise were found. Methods one and three were found to be in good agreement with the performance data. An important finding of this paper is that combining methods one and three using least-squares is capable of providing the required conversion expressions, in line with those in the ANP database, but without being limited to a few aircraft types only.

Transportation Research Part D Transport and EnvironmentVol. 142
Delft University of Technology (NL)
Affordable and clean energy
Openalex Percentile: Top 5%
Noise Effects and Management
6.24
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