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 contributionpeer-review

    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
    Country/TerritoryAustria
    CityVienna
    Period18/02/0820/02/08

    Keywords

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

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