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Multi-Model Ensemble Wake Vortex Prediction

Körner, Stephan (2017) Multi-Model Ensemble Wake Vortex Prediction. Dissertation, DLR.

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Abstract

As a response to lift, a complex ow pattern is shed from the wings of an aircraft that evolves into a pair of counter-rotating vortices. Their behavior is strongly in uenced by the atmosphere and further underlies a complex interaction with the ground. Due to the rolling momentum that the vortices may induce and the forces that they can exert they pose a potential hazard to following air traffic, especially along the glide path and in ground proximity. To avoid dangerous incidents, separation regulations based on aircraft mass exist that is currently under revision in the context of RECAT. However, air traffic is expected to further increase in the future, making wake vortex encounters more likely. For this reason fast-time wake vortex models have been developed in the past that predict the vortex position and strength dependent on the aircraft parameters and the ambient conditions in order to avoid dangerous situations.

Item URL in elib:https://elib.dlr.de/114987/
Document Type:Thesis (Dissertation)
Title:Multi-Model Ensemble Wake Vortex Prediction
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Körner, StephanDLR, IPAUNSPECIFIED
Date:2017
Journal or Publication Title:FB-2017-44
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:179
Status:Published
Keywords:Aircraft, counter-rotating vortices, RECAT
Institution:DLR
Department:Institut für Physik der Atmosphäre
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:air traffic management and operations
DLR - Research area:Aeronautics
DLR - Program:L AO - Air Traffic Management and Operation
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Deposited By: Ziegele, Brigitte
Deposited On:13 Nov 2017 11:34
Last Modified:23 Sep 2019 11:35

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