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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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5.1 Padé approximants 45<br />

h<br />

2h<br />

A<br />

f cosΩt<br />

Response (log-scale)<br />

a) b)<br />

c) d) e)<br />

2<br />

0<br />

-2<br />

-4<br />

-6<br />

-8<br />

-10<br />

-12<br />

fig. c)<br />

fig. d)<br />

-14<br />

0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 2<br />

Frequency, Ω<br />

Figure 5.1 a) An unsupported 2D elastic body (plane stress) subjected to a harmonic<br />

load, b) Response in point A for the three optimized structures in c,d,e). Dashed lines<br />

indicate the optimization frequency intervals with the structure in c) optimized for the<br />

single frequency Ω = 1 only. From paper [18].<br />

resolution of the frequency range corresponding to 100 points. Fig. 5.1b displays the<br />

response of the structures. A difference in the performance for the three structures<br />

is seen; a very low response can be obtained for a single frequency but the response<br />

is very sensitive to the excitation frequency and just a small frequency de-tuning<br />

will result in a significantly higher response. With frequency range optimization a<br />

much more robust performance is obtained. Furthermore, it also results in much<br />

more well defined structures with fewer design variables with intermediate values<br />

between 0 and 1. The reason for this is, however, not fully understood.<br />

Numerical problems arise if the number of expansion functions is too high. The<br />

coefficients are computed on the basis of derivatives at the expansion frequency<br />

and more functions require higher order derivatives. This puts a large demand<br />

on the numerical precision. This is illustrated in Fig. 5.2 which is based on a 1D<br />

model. The error in the bi-coefficients is here plotted versus the precision used in<br />

the numerical scheme. Double precision, which is the standard in most numerical<br />

libraries (corresponding to 16 significant digits), yields unacceptable high errors if<br />

e.g. N = 7 is chosen (for this particular example). Quad-precision numerics (32<br />

significant digits) would, in this case, yield acceptable accuracy.<br />

fig. e)

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