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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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Optimal material distribution – topology optimization 5<br />

original design<br />

optimized design variables<br />

xe = 0 xe = 1<br />

FE model w. design variables<br />

optimized design<br />

Figure 1.3 Illustration of the topology optimization method for optimizing the distribution<br />

of two materials in a bandgap structure. Top left: the original design with the dark<br />

color indicating air holes and light/dark gray indicating a dielectric material. Top right:<br />

finite element (FE) model with one continuous design variable xe per element, for which<br />

xe = 0 represent air (light gray) and xe = 1 represent dielectric material (black). Bottom<br />

left: FE model with an optimized set of design variables taking either the value 0 or 1.<br />

Bottom right: the fabricated optimized design.<br />

measure (objective function), e.g. maximizes the wave transmission through the<br />

structure. This procedure is based on the use of analytically computed gradients<br />

(the sensitivity of the objective function wrt. the design variables) and the use of a<br />

mathematical programming tool, as e.g. Krister Svanberg’s MMA (Svanberg, 1987).<br />

The bottom left figure shows the FE model with the optimized element design<br />

variables corresponding to a new distribution of the two materials. Finally, the<br />

bottom right figure shows the fabricated optimized structure.<br />

As a general feature of topology optimization certain numerical techniques must<br />

be applied in order to generate usable optimized structures. Penalization is used to<br />

avoid design variables in the final design with intermediate values (0 < xe < 1) that<br />

do not correspond to any of the specified materials. Regularization is applied to

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