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Composite Materials Research Progress

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Optimization of Laminated <strong>Composite</strong> Structures… 83<br />

180<br />

160<br />

140<br />

120<br />

100<br />

θ2<br />

80<br />

60<br />

40<br />

20<br />

Strain energy density<br />

(N/mm)<br />

θ init<br />

θ opt<br />

θopt unconstrained<br />

0<br />

0 20 40 60 80 100 120 140 160 180<br />

θ1 Figure 8.2. Illustration of the design space. Staring point, unconstrained and constrained optimum.<br />

The iteration histories for the 3 approximation schemes are illustrated in the Figure 8.3.<br />

The convergence of the optimization process is controlled by the relative variation of the<br />

design variables at 2 successive iterations. The MMA approximation converges in 41<br />

iterations. 29 iterations are enough for GCMMA. When the SAM approximation is used the<br />

solution is reached in a very small number of iterations.<br />

25<br />

20<br />

15<br />

10<br />

5<br />

150<br />

100<br />

Objective function (N/mm)<br />

0<br />

0 20 40 60<br />

50<br />

Evolution of angles (deg.)<br />

0<br />

0 20 40 60<br />

20<br />

15<br />

10<br />

5<br />

150<br />

100<br />

Objective function (N/mm)<br />

0<br />

0 10 20 30<br />

50<br />

Evolution of angles (deg.)<br />

0<br />

0 10 20 30<br />

20<br />

15<br />

10<br />

5<br />

150<br />

100<br />

Objective function (N/mm)<br />

0<br />

0 5 10 15<br />

50<br />

Evolution of angles (deg.)<br />

0<br />

0 5 10 15<br />

MMA GCMMA SAM<br />

Figure 8.3. Iteration history for the 3 approximation methods.

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