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Plate lines to enhance wake vortex decay for reduced separations between landing aircraft

Published online by Cambridge University Press:  02 March 2022

Frank Holzäpfel*
Affiliation:
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, 82234 Oberpfaffenhofen, Germany
Dennis Vechtel
Affiliation:
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Flugsystemtechnik, 38108 Braunschweig, Germany
Grigory Rotshteyn
Affiliation:
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, 82234 Oberpfaffenhofen, Germany
Anton Stephan
Affiliation:
Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, 82234 Oberpfaffenhofen, Germany
*
*Corresponding author. E-mail: frank.holzaepfel@dlr.de

Abstract

To mitigate the risk of wake vortex encounters during final approach, so-called plate lines have been developed. Data collected during a six-month measurement campaign at Vienna International Airport are used to assess the potential for reducing minimum aircraft separations facilitated by plate lines during approach and landing following the re-categorisation (RECAT-EU) methodology for revised wake turbulence categorisation. To ensure that no other parameters controlling wake vortex decay bias the analysis, it is verified that wind speed, atmospheric turbulence, thermal stratification and flight altitude reside in similar ranges with and without the plates. The analysis follows the steps of the RECAT-EU method to generate non-dimensional so-called reasonable worst-case circulation decay curves; one as a reference for nominal operations without plates and one representing the accelerated wake vortex decay brought about by the plate lines. The difference between the two circulation decay curves corresponds to the non-dimensional time-based aircraft separation reduction potential that can be translated into distance-based separation gains. Depending on the particular RECAT-EU category combination, the attained aircraft separation reduction potential ranges between 12% and 15%. Constricting the analysis to wake vortices generated by one aircraft type representing the Upper Heavy RECAT-EU category, the separation reduction potential amounts up to 24%.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. Plate lines decay mechanism: Ω-shaped secondary vortex (SV) approaches the wake vortex (WV) and wraps around it leading to premature wake vortices decay (Stephan et al., 2013).

Figure 1

Figure 2. A380 overflight of experimental plate lines installed at localiser of runway 16 of Vienna International Airport.

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Figure 3. Positioning of plate lines (red dashes) and measurement instrumentation on apron of runway 16 at Vienna International Airport (© Google 2017).

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Figure 4. Lidar measurements of wake vortices position and circulation of 531 vortex evolutions without plates and 485 vortex evolutions with plates entering the RECAT-EU analysis (aircraft weight classes M, H, J). PL, plate lines.

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Figure 5. Initial wake vortex separations of the 12 considered aircraft types; estimates from measurement data versus theoretical approximations.

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Figure 6. Exemplary fits of two-phase circulation decay model to lidar measurements without/with plates in a,b/c,d, respectively. PL, plate lines.

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Figure 7. Normalised reasonable worst-case circulation decay curves from RECAT-EU and the corresponding decay curves established from the Vienna data without and with plate lines (a). Corresponding decay curves for different percentages of top long-lived vortices (b). PL, plate lines.

Figure 7

Figure 8. Normalised reasonable worst-case circulation decay curves from RECAT-EU and the corresponding curves without and with plate lines for the traffic mix and for three particular aircraft types representing different RECAT-EU categories built from cases with normalised vortex lifetimes beyond 3.5. PL, plate lines.

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Figure 9. Potential reduced aircraft separations dependent on vortex age. Dimensionless time shifts between the reasonable worst-case decay curves with and without plate lines for different aircraft types (a). Corresponding time shifts using different percentages of top long-lived vortices of the traffic mix (b).

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Figure 10. Illustration of how aircraft type specific minimum separations with plate lines are evaluated. Example shown for leading B773 and following A320 aircraft.

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Table 1. Aircraft types used for the evaluation of revised minimum separation distances.

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Table 2. Sensitivity of estimated separation reduction potential to various parameters.

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Table 3. Distance-based aircraft separation minima with plate lines and differences to RECAT-EU scheme. Empty fields indicate MRS.

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Table 4. Distance-based aircraft separation minima with plate lines and differences to RECAT-EU scheme established from the reasonable worst-case decay curves of the leader aircraft types B772, B763 and A320. Empty fields indicate MRS.

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Table 5. Number of single vortex evolutions in the measurement planes L1 to L5 without plates/with plates.

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Figure 11. Wind condition distributions against number of vortex evolutions with and without plate lines used for the RECAT-EU analysis.

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Figure 12. Thermal stratification characterized by Brunt-Väisälä frequency distribution against number of vortex evolutions with and without plate lines used for the RECAT-EU analysis.

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Figure 13. Turbulence intensity distributions during vortex evolutions with and without plate lines used for the RECAT-EU analysis. Turbulence characterized by the structure parameter of the refractive index of air $C_n^2$ measured by the LAS (a) and the MWS (b).

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Table 6. Average $C_n^2$ values corresponding to figure 13.

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Figure 14. Initial circulation estimates based on two-phase decay model fits of lidar measurements and on Mode S data of the 12 considered aircraft types.

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Table 7. Average values and standard deviations of different methods to estimate initial vortex circulation, Γ0.

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