Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering

D. S. Lee; L. F. Gonzalez; J. Périaux; K. Srinivas

doi:10.1007/978-3-540-70805-6_21

Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering

D. S. Lee^*, L. F. Gonzalez, J. Périaux, K. Srinivas

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

16 Citations (Scopus)

Abstract

One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainties or variability in the design parameters or operating conditions. This paper describes a methodology for robust multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology, which is based on canonical evolution algorithms, is enhanced by its coupling with an uncertainty analysis technique. The paper illustrates the use of this methodology on two practical test cases related to Unmanned Aerial Systems (UAS). These are the ideal candidates due to the multi-physics involved and the variability of missions to be performed. Results obtained from the optimisation show that the method is effective to find useful Pareto non-dominated solutions and demonstrate the use of robust design techniques.

Original language	English
Title of host publication	100 Volumes of 'Notes on Numerical Fluid Mechanics'
Subtitle of host publication	40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect
Editors	Ernst Heinrich Hirschel, Egon Krause
Place of Publication	Berlin
Publisher	Springer, Springer Nature
Pages	271-284
Number of pages	14
ISBN (Electronic)	9783540708056
ISBN (Print)	9783540708049, 3540708049
DOIs	https://doi.org/10.1007/978-3-540-70805-6_21
Publication status	Published - 2009

Publication series

Name	Notes on Numerical Fluid Mechanics and Multidisciplinary Design
Volume	100
ISSN (Print)	16122909

Access to Document

10.1007/978-3-540-70805-6_21

Cite this

Lee, D. S., Gonzalez, L. F., Périaux, J., & Srinivas, K. (2009). Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering. In E. H. Hirschel, & E. Krause (Eds.), 100 Volumes of 'Notes on Numerical Fluid Mechanics': 40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect (pp. 271-284). (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; Vol. 100). Springer, Springer Nature. https://doi.org/10.1007/978-3-540-70805-6_21

Lee, D. S. ; Gonzalez, L. F. ; Périaux, J. et al. / Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering. 100 Volumes of 'Notes on Numerical Fluid Mechanics': 40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect. editor / Ernst Heinrich Hirschel ; Egon Krause. Berlin : Springer, Springer Nature, 2009. pp. 271-284 (Notes on Numerical Fluid Mechanics and Multidisciplinary Design).

@inbook{65395293d1ff4b3f8a499d5628829c7a,

title = "Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering",

abstract = "One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainties or variability in the design parameters or operating conditions. This paper describes a methodology for robust multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology, which is based on canonical evolution algorithms, is enhanced by its coupling with an uncertainty analysis technique. The paper illustrates the use of this methodology on two practical test cases related to Unmanned Aerial Systems (UAS). These are the ideal candidates due to the multi-physics involved and the variability of missions to be performed. Results obtained from the optimisation show that the method is effective to find useful Pareto non-dominated solutions and demonstrate the use of robust design techniques.",

author = "Lee, {D. S.} and Gonzalez, {L. F.} and J. P{\'e}riaux and K. Srinivas",

year = "2009",

doi = "10.1007/978-3-540-70805-6_21",

language = "English",

isbn = "9783540708049",

series = "Notes on Numerical Fluid Mechanics and Multidisciplinary Design",

publisher = "Springer, Springer Nature",

pages = "271--284",

editor = "Hirschel, {Ernst Heinrich} and Egon Krause",

booktitle = "100 Volumes of 'Notes on Numerical Fluid Mechanics'",

address = "United States",

}

Lee, DS, Gonzalez, LF, Périaux, J & Srinivas, K 2009, Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering. in EH Hirschel & E Krause (eds), 100 Volumes of 'Notes on Numerical Fluid Mechanics': 40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol. 100, Springer, Springer Nature, Berlin, pp. 271-284. https://doi.org/10.1007/978-3-540-70805-6_21

Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering. / Lee, D. S.; Gonzalez, L. F.; Périaux, J. et al.
100 Volumes of 'Notes on Numerical Fluid Mechanics': 40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect. ed. / Ernst Heinrich Hirschel; Egon Krause. Berlin: Springer, Springer Nature, 2009. p. 271-284 (Notes on Numerical Fluid Mechanics and Multidisciplinary Design; Vol. 100).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering

AU - Lee, D. S.

AU - Gonzalez, L. F.

AU - Périaux, J.

AU - Srinivas, K.

PY - 2009

Y1 - 2009

N2 - One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainties or variability in the design parameters or operating conditions. This paper describes a methodology for robust multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology, which is based on canonical evolution algorithms, is enhanced by its coupling with an uncertainty analysis technique. The paper illustrates the use of this methodology on two practical test cases related to Unmanned Aerial Systems (UAS). These are the ideal candidates due to the multi-physics involved and the variability of missions to be performed. Results obtained from the optimisation show that the method is effective to find useful Pareto non-dominated solutions and demonstrate the use of robust design techniques.

AB - One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainties or variability in the design parameters or operating conditions. This paper describes a methodology for robust multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology, which is based on canonical evolution algorithms, is enhanced by its coupling with an uncertainty analysis technique. The paper illustrates the use of this methodology on two practical test cases related to Unmanned Aerial Systems (UAS). These are the ideal candidates due to the multi-physics involved and the variability of missions to be performed. Results obtained from the optimisation show that the method is effective to find useful Pareto non-dominated solutions and demonstrate the use of robust design techniques.

UR - http://www.scopus.com/inward/record.url?scp=66149157336&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-70805-6_21

DO - 10.1007/978-3-540-70805-6_21

M3 - Chapter

AN - SCOPUS:66149157336

SN - 9783540708049

SN - 3540708049

T3 - Notes on Numerical Fluid Mechanics and Multidisciplinary Design

SP - 271

EP - 284

BT - 100 Volumes of 'Notes on Numerical Fluid Mechanics'

A2 - Hirschel, Ernst Heinrich

A2 - Krause, Egon

PB - Springer, Springer Nature

CY - Berlin

ER -

Lee DS, Gonzalez LF, Périaux J, Srinivas K. Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering. In Hirschel EH, Krause E, editors, 100 Volumes of 'Notes on Numerical Fluid Mechanics': 40 Years of Numerical Fluid Mechanics and Aerodynamics in Retrospect. Berlin: Springer, Springer Nature. 2009. p. 271-284. (Notes on Numerical Fluid Mechanics and Multidisciplinary Design). doi: 10.1007/978-3-540-70805-6_21

Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering

Abstract

Publication series

Access to Document

Other files and links

Fingerprint

Cite this