Maria Bayard Dühring - Solid Mechanics
Maria Bayard Dühring - Solid Mechanics
Maria Bayard Dühring - Solid Mechanics
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562<br />
When the mesh size is decreased the optimization will in general result in mesh-dependent solutions with<br />
small details which make the design inconvenient to manufacture. To avoid these problems a morphologybased<br />
filter is employed. Such filters make the material properties of an element depend on a function of the<br />
design variables in a fixed neighborhood around the element such that the finite design is mesh-independent.<br />
Here a close-type morphology-based filter is chosen [30], which has proven efficient for wave-propagation type<br />
topology optimization problems. The method results in designs where all holes below the size of the filter<br />
(radius rmin) have been eliminated. A further advantage of these filter-types is that they help eliminating gray<br />
elements in the transition zone between solid and air regions.<br />
3. Results<br />
In this section results are presented for rooms in 2D and 3D as well as for outdoor sound barriers in 2D.<br />
3.1. Optimization of a rectangular room in 2D<br />
ARTICLE IN PRESS<br />
M.B. <strong>Dühring</strong> et al. / Journal of Sound and Vibration 317 (2008) 557–575<br />
The average of the squared sound pressure amplitude is minimized in the output domain Oop by distributing<br />
material in the design domain Od in the rectangular room as shown in Fig. 1. The maximum volume fraction is<br />
chosen to b ¼ 0:15 and the initial design for the optimal design is a uniform distribution of 15% material in<br />
the design domain. The vibrational velocity of the pulsating circle is U ¼ 0:01 m s 1 and the target frequency is<br />
f ¼ 34:56 Hz, f ¼ o=2p, which is a natural frequency for the room with the initial material distribution. The<br />
modeling domain is discretized by triangular elements with maximum side length hmax ¼ 0:3 m and the filter<br />
radius is rmin ¼ 1:0hmax. An absolute tolerance of 0.01 on the maximum change of the design variables is used<br />
to terminate the optimization loop. The optimized design was found in 281 iterations and the objective<br />
function was reduced from 110.9 to 76.1 dB. Fig. 2 shows the optimized design as well as the sound pressure<br />
amplitude for the initial and optimized designs. It is clearly seen that in comparison to the initial design the<br />
redistributed material in the design domain is influencing the sound pressure in the room such that it has a<br />
very low value in the output domain Oop with a nodal line going through it. The material is placed at the nodal<br />
lines for the initial design which is an observation that will be elaborated on later. On the top right of Fig. 2 the<br />
frequency response for the initial design and the optimized design are shown, where F is plotted as function of<br />
the frequency f. In comparison to the initial design, the natural frequencies for the optimized design have<br />
changed and the natural frequency, which was equal to the driving frequency for the initial design, has been<br />
moved to a lower value. It is noted that the solid material forms small cavities and that there is a tendency for<br />
the sound pressure amplitude to be higher in these cavities than outside them. The cavities resemble Helmholtz<br />
resonators (see Ref. [2] for a description of a Helmholtz resonator). It should be noted, that even though the<br />
filter is used and the value of rmin is varied it is difficult to obtain fully mesh-independent solutions due to<br />
many local minima.<br />
In the previous example a low frequency has been used to obtain an optimized design. In the next example<br />
the room is optimized for the frequency f ¼ 4 34:56 Hz, and the quantities b ¼ 0:5, hmax ¼ 0:2 m, and<br />
rmin ¼ 1:0hmax. The optimized design is seen in Fig. 3 where the objective function is decreased from 95.7 to<br />
62.1 dB in 478 iterations. Compared to the design for the lower frequency the design is now a complicated<br />
structure with many small features. The reason is that for increasing frequencies the distribution of the sound<br />
pressure amplitude in the room gets more complex and the design needed to minimize the objective function<br />
will naturally also consist of more complicated details. For higher frequencies well defined designs can still be<br />
obtained, but it is hard to get a mesh-independent design as it is very sensitive to discretization, filtering radius,<br />
starting guess as well as local minima.<br />
In the next example the optimization is done for f ¼ 9:39 and 9.71 Hz which is less and higher, respectively,<br />
than the first natural frequency 9.55 Hz for the room with the initial design with b ¼ 0:15. The corresponding<br />
mode shape has a vertical nodal line in the middle of the room and high sound pressure amplitude along the<br />
walls. The quantities used in both cases are hmax ¼ 0:3 m and rmin ¼ 0:75hmax. The optimized designs and the<br />
corresponding frequency response are seen in Fig. 4. For the case with f ¼ 9:39 Hz the solid material is<br />
distributed at the corners with the high pressure amplitude and the natural frequency is moved to a higher<br />
frequency. However, in the case with f ¼ 9:71 Hz the material is placed at the nodal plane in the middle of the