Optimization of aircraft wake alleviation schemes through an evolution strategy

Philippe Chatelain, Mattia Gazzola, Stefan Kern, Petros Koumoutsakos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate schemes to accelerate the decay of aircraft trailing vortices. These structures are susceptible to several instabilities that lead to their eventual destruction. We employ an Evolution Strategy to design a lift distribution and a lift perturbation scheme that minimize the wake hazard as proposed in [6]. The performance of a scheme is measured as the reduction of the mean rolling moment that would be induced on a following aircraft; it is computed by means of a Direct Numerical Simulation using a parallel vortex particle code. We find a configuration and a perturbation scheme characterized by an intermediate wavelength λ ∼ 4.64, necessary to trigger medium wavelength instabilities between tail and flap vortices and subsequently amplify long wavelength modes.

Original languageEnglish (US)
Title of host publicationHigh Performance Computing for Computational Science, VECPAR 2010 - 9th International Conference, Revised Selected Papers
Pages210-221
Number of pages12
DOIs
StatePublished - Mar 18 2011
Externally publishedYes
Event9th International Conference on High Performance Computing for Computational Science, VECPAR 2010 - Berkeley, CA, United States
Duration: Jun 22 2010Jun 25 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6449 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on High Performance Computing for Computational Science, VECPAR 2010
CountryUnited States
CityBerkeley, CA
Period6/22/106/25/10

Keywords

  • Large Scale Simulations in CS&E
  • Numerical Algorithms for CS&E
  • Parallel and Distributed Computing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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