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Optimization and Computational Fluid Dynamics - Department of ...

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138 Nicolas R. Gauger<br />

solution <strong>of</strong> the equations<br />

� �<br />

∂I ∂R ∂S<br />

+ ψT + φT =0,<br />

∂w ∂w ∂w<br />

(5.41)<br />

� �<br />

∂I ∂R ∂S<br />

+ ψT + φT =0.<br />

∂Z ∂Z ∂Z<br />

(5.42)<br />

These are the adjoint equations for the problem <strong>of</strong> coupled aeroelasticity.<br />

After their solution, the gradient can be recovered from the expression<br />

� �<br />

∂I ∂R ∂S<br />

δI = + ψT + φT δX . (5.43)<br />

∂X ∂X ∂X<br />

with<br />

We can assume the cost function to be a functional in the form<br />

�<br />

I(X,w,Z)= i(X,w,Z)dV (5.44)<br />

i(X,w,Z)= Cp<br />

Cref<br />

V<br />

(nx cosα + ny sinα)δ(η) (5.45)<br />

where δ(η) is the Dirac delta function. The equation η = 0 defines the airfoil<br />

shape in the body fitted coordinates (ξ,η). For the Dirac delta function under<br />

integration the following equation holds<br />

�<br />

δ(η)f(η)dη =f(0) . (5.46)<br />

In the context <strong>of</strong> Eq. (5.44), it reduces the volume integral to a surface<br />

integral. We suppose that the fluid obeys the Euler equations, which in body<br />

fitted coordinates take the form<br />

∂F<br />

∂ξ<br />

+ ∂G<br />

∂η<br />

=0, (5.47)<br />

where the transformed F,G are appropriate combinations <strong>of</strong> f <strong>and</strong> g, e.g.,<br />

F = J ∂ξ<br />

⎡<br />

ρU<br />

∂ξ ⎢<br />

f + J g = J ⎢<br />

ρuU +<br />

∂x ∂y ⎣<br />

∂ξ<br />

∂xp ρvU + ∂ξ<br />

∂yp ⎤<br />

⎥<br />

⎦ .<br />

ρHU<br />

(5.48)<br />

Since our cost function I is <strong>of</strong> the form shown in Eq. (5.44), as first step we<br />

have to formulate Eqs. (5.41) <strong>and</strong> (5.42) in an appropriate way, using the<br />

following property

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