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Towards Global Optimisation in CFD through the use of Adjoint Methods

Outline. Introduction and MotivationOptimisationAdjoint MethodsFuture plans. Design Search and Optimisation (DSO). Describes the use of formal optimisation techniques in design. Motivation. Optimisation of any given quantity of interest

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Towards Global Optimisation in CFD through the use of Adjoint Methods

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    1. Towards Global Optimisation in CFD through the use of Adjoint Methods Natalie Foxley June 2006

    2. Outline Introduction and Motivation Optimisation Adjoint Methods Future plans

    3. Design Search and Optimisation (DSO) Describes the use of formal optimisation techniques in design

    4. Motivation Optimisation of any given quantity of interest… - Lift on an aircraft - Drag on a wing But a large and complex geometry will be expensive to model in a simulation There has to be a cheaper way…

    5. Optimisation Aim to minimise (or maximise) an objective function I =I (w,F ) F contains n design parameters w represents the state of the dynamic system, restricted by governing equations Residual R =R (w,F ) R = 0 iff equations fulfilled

    6. Local Optimisation 2D illustration Area of interest only has one local minimum

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