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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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30 Chapter 3 Bandgap structures as optimal designs<br />

Relations to recent work<br />

Paper [4] was to the author’s best knowledge the first that applied a numerical<br />

material distribution algorithm to the design of mechanical (or phononic) bandgap<br />

structures. Thisworkhaslater beenfollowedbyanumber ofoptimizationstudies on<br />

elasticstructuresforwavereflection, guidingandcontrolpurposessuchasbyHussein<br />

et al. (2007b) for 1D banded materials, Hussein et al. (2007a) for 2D phononic<br />

crystals, by Rupp et al. (2007) who designed surface waveguides using 3D modeling,<br />

by Evgrafov et al. (2008) who optimized 2D tunable waveguides and by Du and<br />

Olhoff (2007a,2010)who mininimized andcontrolledsound radiationfromvibrating<br />

structures. The separation of eigenfrequencies was also recently considered by Du<br />

and Olhoff (2007b,c) using topology optimization.<br />

The conference paper [9] dealing with the acoustic design problem was later extended<br />

to a journal publication in cooperation with Maria Dühring (Dühring et al.,<br />

2008) where also 3D problems were analyzed as well the planar problem of optimization<br />

of sound barriers. The acoustic problem has later been studied using topology<br />

optimization by Wadbro and Berggren (2006) who considered optimal design of an<br />

acoustic horn, by Lee and Kim (2009) who optimized holes in a cavity partition<br />

in order to control eigenfrequencies. Duhamel (2006) used a genetic algorithm to<br />

design sound barriers. Related to this problem is also the study on topology optimization<br />

of acoustic-structure interaction by the author, Ole Sigmund and Gil Ho<br />

Yoon (Yoon et al., 2007).<br />

In optimization problems where a large reflection of waves is required, well defined<br />

structures seem to appear ”automatically”. Thus there is no need for penalization<br />

of intermediate design variables (between 0 and 1). In most other applications<br />

of topology optimization such a penalization is essential. This phenomenon is related<br />

to the fact that intermediate design variables reduce the contrast between the<br />

materials and thus lead to a reduced wave reflection. Mathematically, this issue has<br />

been studied by Bellido and Donoso (2007) who proved that ”classical solutions”<br />

(pure 0–1 designs) are optimal under certain conditions.

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