New aerospace design challenges

robust multidisciplinary evolutionary techniques

K. Srinivas, J. Periaux, D. S. Lee, L. F. Gonzalez

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

Abstract

Even though in some instances optimisation can be computationally expensive, aeronautical industries are now considering with high interest the important cost reduction of introducing optimisation early in the design process. It has also been shown, in various UAVs and UCAVs applications that a multidisciplinary approach can provide additional benefits such as reduction of empty weight, drag and/or radar cross section. One of the new challenges in aeronautics is combining and accounting for multiple disciplines while considering uncertainty or variability in the design parameters or operating conditions. This paper describes a methodology for multidisciplinary design optimisation when there is uncertainty in the operating conditions. The methodology is based on canonical evolution algorithms and incorporates the concepts of multi-objective optimisation, hierarchical (multi-fidelity) topology, asynchronous evaluation and parallel computing (HAPMOEA). This methodology is enhanced by its coupling with an uncertainty analysis technique. The paper illustrates the use of this methodology on three practical test cases with increasing levels of complexity. Stealth aircraft and unmanned aerial vehicles are the ideal candidates due to the multi-physics involved and variability of Sectors to be performed. The first case considers the aerodynamic analysis and optimisation on a UCAV only, the second test compares and illustrates the challenge and benefits on introducing a second discipline (Electro-magnetic) while accounting for uncertainty in the designparameters and operating conditions. Results obtained from the optimisation show that the method is effective to find useful Pareto non-dominated solutions and the future benefit of using Uncertainty design technique.

Original languageEnglish
Title of host publicationECCOMAS Multidisciplinary Jubilee Symposium
Subtitle of host publicationNew Computational Challenges in Materials, Structures, and Fluids
Place of PublicationNew York
PublisherSpringer, Springer Nature
Pages343-358
Number of pages16
Volume14
ISBN (Electronic)9781402092312
ISBN (Print)9781402092305
DOIs
Publication statusPublished - 2009
EventInternational ECCOMAS Multidisciplinary Jubilee Symposium - New Computational Challenges in Materials, Structures, and Fluids, EMJS 2008 - Vienna, Austria
Duration: 18 Feb 200820 Feb 2008

Publication series

NameComputational Methods in Applied Sciences
Volume14
ISSN (Print)18713033

Other

OtherInternational ECCOMAS Multidisciplinary Jubilee Symposium - New Computational Challenges in Materials, Structures, and Fluids, EMJS 2008
CountryAustria
CityVienna
Period18/02/0820/02/08

Keywords

  • Evolutionary algorithms
  • Multi-objective
  • Multidisciplinary
  • Robust/uncertainty

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    Srinivas, K., Periaux, J., Lee, D. S., & Gonzalez, L. F. (2009). New aerospace design challenges: robust multidisciplinary evolutionary techniques. In ECCOMAS Multidisciplinary Jubilee Symposium: New Computational Challenges in Materials, Structures, and Fluids (Vol. 14, pp. 343-358). (Computational Methods in Applied Sciences; Vol. 14). New York: Springer, Springer Nature. https://doi.org/10.1007/978-1-4020-9231-2_23