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Computational Methods for Debonding in Composites

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12 On Buckl<strong>in</strong>g Optimization of a W<strong>in</strong>d Turb<strong>in</strong>e Blade 253<br />

Fig. 12.4 Thedesignarea(the<br />

trail<strong>in</strong>g edge sandwich panel)<br />

is divided <strong>in</strong>to 14 patches.<br />

Results of the topology optimization<br />

will be presented <strong>for</strong><br />

the zoomed area<br />

Zoomedarea<br />

Patch14<br />

Patch13<br />

Patch12<br />

Patch11<br />

Patch10<br />

Patch 9<br />

Patch 8<br />

Patch 7<br />

Patch 6<br />

Patch 5<br />

Patch 4<br />

Patch 3<br />

Patch 2<br />

Patch 1<br />

The whole trail<strong>in</strong>g edge panel is allowed to change <strong>in</strong> the design optimization<br />

(<strong>in</strong>clud<strong>in</strong>g the part close to the trail<strong>in</strong>g edge marked with the color red <strong>in</strong> Fig. 12.2),<br />

and it is divided <strong>in</strong>to 14 patches as illustrated <strong>in</strong> Fig. 12.4. Each patch has 12 layers<br />

of equal thickness 0.5 mm, i.e., the total thickness is 6 mm everywhere <strong>in</strong> the design<br />

area. The buckl<strong>in</strong>g modes of the lowest eigenvalues are local modes of the trail<strong>in</strong>g<br />

edge panel (see also Fig. 12.1B).<br />

First the candidate materials are GFRP unidirectional material oriented at 0 ◦ ,<br />

+45 ◦ , −45 ◦ , and 90 ◦ <strong>for</strong> the two outer layers whereas the foam material also can<br />

be selected together with the four GFRP candidate materials <strong>for</strong> the 10 <strong>in</strong>ner layers.<br />

The mass constra<strong>in</strong>t M is set to 24.9 kg which corresponds to 2/3 of the design<br />

doma<strong>in</strong> be<strong>in</strong>g filled with foam material.<br />

When solv<strong>in</strong>g the optimization problem given by Eq. (12.12) the three lowest<br />

eigenvalues are taken <strong>in</strong>to account <strong>in</strong> all design iterations. The penalization power p<br />

used <strong>in</strong> the weight functions <strong>in</strong> Eq. (12.2) is <strong>in</strong>itially set to 1 and <strong>in</strong>creased by 1 <strong>for</strong><br />

every 10 design iterations until p equals 3. The move limit used on all DMO design<br />

variables is 5%, i.e. each design variable may change up to 5% <strong>in</strong> every design<br />

iteration.<br />

The result of the optimization can be seen <strong>in</strong> Fig. 12.5. If the GFRP material<br />

has been selected, then the material orientation is shown <strong>for</strong> each f<strong>in</strong>ite element,<br />

whereas white means that the foam material has been selected. The results of the<br />

optimization are shown <strong>for</strong> the zoomed area def<strong>in</strong>ed <strong>in</strong> Fig. 12.4.<br />

The DMO convergence measure, see Eq. (12.6), is h95 = 0.89 and h99.5 = 0.84.<br />

Thus, <strong>in</strong> 5/6 of the doma<strong>in</strong> a dist<strong>in</strong>ct choice of material is obta<strong>in</strong>ed. The convergence<br />

of the lowest eigenvalue is monotonic and is <strong>in</strong>creased from λ1 = 1.05 <strong>for</strong> the <strong>in</strong>itial<br />

design where all weight factors on the candidate materials have equal values to<br />

λ1 = 2.23 <strong>for</strong> the optimized design where the mass constra<strong>in</strong>t is active.<br />

It is seen that the GFRP material at the left part of the trail<strong>in</strong>g edge part (at the<br />

transition to the spar cap) should be oriented at 0 ◦ , and the overall distribution of<br />

foam material through the thickness seems reasonable. However, the GFRP material

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