Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering
Lee, Dong-Seop, Gonzalez, Luis F., Periaux, Jacques, & Srinivas, Kavita (2009) Evolutionary optimisation methods with uncertainty for modern multidisciplinary design in aeronautical engineering. In 100 Volumes of Notes on Numerical Fluid Mechanics. Springer, Berlin / Heidelberg, pp. 271-284.
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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.
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|Item Type:||Book Chapter|
|Keywords:||Evolutionary Optimisation, Uncertainty, Multidisciplinary Design, UAVs|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Aerodynamics (excl. Hypersonic Aerodynamics) (090101)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > AEROSPACE ENGINEERING (090100) > Flight Dynamics (090106)
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
|Copyright Owner:||Copyright 2009 Springer|
|Deposited On:||20 May 2012 23:29|
|Last Modified:||16 Oct 2015 09:14|
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