Array
(
    [typ] => PU
    [page_title_red] => Publication detail
    [released] => 2015-12-30
    [language] => en
    [bibtex] => @article{BUT120867,
  author="Petr {Dvořák}",
  title="Surrogate-based Shape Optimization in Aerodynamic Applications",
  journal="Letecký zpravodaj",
  year="2015",
  volume="2015",
  number="3",
  pages="5--10",
  issn="1211-877X",
  url="http://www.czaerospace.eu/en/2015-03-54.html"
}
    [title_orig] => Surrogate-based Shape Optimization in Aerodynamic Applications
    [abstract_orig] => A preliminary aerodynamic design often imposes requirements on global optimum search within a large, highly multimodal design space. Tools typically deployed to evaluate individual design candidates are very computationally expensive, being part of the finite volume computational fluid dynamics class. This virtually prevents deployment of traditional stochastic global optimization approaches, such as evolutionary algorithms. Hence, there has been a growing interest in metamodelling techniques, providing a reliable surrogate of the simulator response to an optimization algorithm. Efficient deployment of such techniques within preliminary aerodynamic design is of interest to Garteur Action Group 52 members. The present paper describes the involvement of Brno University of Technology, Institute of Aerospace Engineering in the AG52. The considered test case is based on the RAE2822 aerofoil constrained multipoint optimization problem. The overall problem setup is given along with selected surrogate modelling and optimization techniques. The presented approach featuring artificial neural networks is able to produce highly reliable metamodels with cutting-edge performance as documented by the AG52 performance metrics comparison. The work described within this paper has been presented at EUROGEN 2015 conference in Glasgow.
    [title_cs] => 
    [title_en] => Surrogate-based Shape Optimization in Aerodynamic Applications
    [keywords_cs] => 
    [keywords_en] => surrogate modelling, metamodel, multi-objective optimization, multi-point, Garteur AG52, RAE2822
    [pub_type] => Peer-reviewed article not indexed in WoS or Scopus
    [quotations] => DVOŘÁK, P.
    [publisher] => ALV – Association of the Aerospace Manufacturers
    [location] => Prague
    [issn] => 1211-877X
    [isbn] => 
    [volume] => 2015
    [number] => 3
    [pages] => 6
    [book] => 
    [journal] => Letecký zpravodaj
    [page_from_to] => 5–10
)

Publication detail

Surrogate-based Shape Optimization in Aerodynamic Applications

DVOŘÁK, P.

English title

Surrogate-based Shape Optimization in Aerodynamic Applications

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

Original abstract

A preliminary aerodynamic design often imposes requirements on global optimum search within a large, highly multimodal design space. Tools typically deployed to evaluate individual design candidates are very computationally expensive, being part of the finite volume computational fluid dynamics class. This virtually prevents deployment of traditional stochastic global optimization approaches, such as evolutionary algorithms. Hence, there has been a growing interest in metamodelling techniques, providing a reliable surrogate of the simulator response to an optimization algorithm. Efficient deployment of such techniques within preliminary aerodynamic design is of interest to Garteur Action Group 52 members. The present paper describes the involvement of Brno University of Technology, Institute of Aerospace Engineering in the AG52. The considered test case is based on the RAE2822 aerofoil constrained multipoint optimization problem. The overall problem setup is given along with selected surrogate modelling and optimization techniques. The presented approach featuring artificial neural networks is able to produce highly reliable metamodels with cutting-edge performance as documented by the AG52 performance metrics comparison. The work described within this paper has been presented at EUROGEN 2015 conference in Glasgow.

Keywords in English

surrogate modelling, metamodel, multi-objective optimization, multi-point, Garteur AG52, RAE2822

Released

2015-12-30

Publisher

ALV – Association of the Aerospace Manufacturers

Location

Prague

ISSN

1211-877X

Journal

Letecký zpravodaj

Volume

2015

Number

3

Pages from–to

5–10

Pages count

6

BIBTEX


@article{BUT120867,
  author="Petr {Dvořák}",
  title="Surrogate-based Shape Optimization in Aerodynamic Applications",
  journal="Letecký zpravodaj",
  year="2015",
  volume="2015",
  number="3",
  pages="5--10",
  issn="1211-877X",
  url="http://www.czaerospace.eu/en/2015-03-54.html"
}