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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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Inverse design of phononic crystals by tobology optimization 897<br />

While the above PDEs may be solved analytically for<br />

uniform and homogeneous beams, numerical methods like<br />

the FE Method must be resorted to when considering periodic<br />

in-homogeneous structures as will be the case here.<br />

Let a base cell of length d be divided into N finite elements.<br />

For longitudinal wave motion, the N þ 1 degrees<br />

of freedom (d.o.f) are the nodal longitudinal displacements,<br />

while for bending waves the 2(N þ 1) d.o.f. are the<br />

nodal transverse displacements and the rotation of the<br />

cross-section. For each of the two wave type problems, the<br />

global stiffness matrix K and mass matrix M for the base<br />

cell are assembled in the usual manner from the corresponding<br />

element matrices. For longitudinal waves the element<br />

matrices are 2 2 matrices using first order polynomials<br />

as shape function for u [15]. For bending waves, the<br />

element matrices are 4 4 matrices using third and second<br />

order polynomials as shape functions for w and q<br />

respectively [14]. According to Bloch theory [16], the periodic<br />

boundary condition at the ends of the base cell becomes<br />

for longitudinal waves<br />

uN ¼ u1 e ikB<br />

where k B ¼ kd is the Bloch parameter and k the wave<br />

number. Due to reasons of periodicity, 0 k B p. Similarly<br />

for bending waves, the periodic boundary conditions<br />

become<br />

wN ¼ w1 e ikB<br />

;<br />

qN ¼ q1 e ikB<br />

:<br />

These boundary conditions must be incorporated into the<br />

corresponding stiffness matrices.<br />

Assuming time harmonic motion with circular frequency<br />

w the two eigenvalue problems become<br />

Kiðk B Þ ui ¼ liMiui ; li ¼ w 2 i ; i ¼ L; B ð10Þ<br />

where ui contains the nodal values of the variables, L ¼<br />

longitudinal waves and B ¼ bending waves. The dependence<br />

on k B is shown explicitly.<br />

The stiffness and mass matrices K and M depend in<br />

general on the cross-sectional geometry, length of base cell<br />

and material parameters. Here we choose a fixed circular<br />

cross-section of radius r ¼ 0:5 cm, such that we end up<br />

with only the longitudinally varying material properties<br />

and the cell length as design variables. As discussed in the<br />

previous section, the goal is to find the distribution of two<br />

a priori chosen materials in the base cell, that results in the<br />

largest band gaps as calculated by (10). We choose a continuous<br />

design variable 0 z e 1, z e ¼ 1; ...; N for each<br />

element, that interpolates between the two chosen materials.<br />

In our model (10), there are three material parameters<br />

E, q and n introduced above. We thus have the following<br />

three material interpolation functions on the form (2)<br />

EðzeÞ¼ ð1 zeÞ E1 þ zeE2 ;<br />

qðzeÞ¼ ð1 zeÞ q1 þ zeq2 ;<br />

nðzeÞ¼ ð1 zeÞ n1 þ zen2 :<br />

The subscript i ¼ 1; 2 denotes one of the two materials.<br />

Finally, we also let the base cell length d be a design<br />

parameter, such that the cell length can be optimized.<br />

Table 1. Material properties for the two materials used in the numerical<br />

example.<br />

Material q [kg/m 3 ] E [GPa] n<br />

Aluminium 2830 70.9 0.34<br />

PMMA 1200 5.28 0.40<br />

The optimization problem<br />

For each of the two wave type problems, we can state the<br />

problem of maximizing the relative band gap between frequency<br />

bands j and j þ 1<br />

max<br />

z 2½0; 1Š N<br />

: Fðz; dÞ ¼2<br />

d 2½dmin; dmaxŠ<br />

min<br />

k B 2½0; pŠ wjþ1<br />

max<br />

k B 2½0; pŠ wj<br />

min<br />

kB 2½0; pŠ wjþ1 þ max<br />

kB 2½0; pŠ wj<br />

: ð11Þ<br />

For 1D problems, finding the minimum/maximum of the<br />

involved frequencies over k B in (11) can be avoided, since<br />

empirically it is known that the frequency bands are alternating<br />

monotonic (for the purpose of illustration, consult<br />

Fig. 1). Therefore the minimum band gap between two<br />

consecutive bands will occur at k B ¼ p for j ¼ 1; 3; 5; ...<br />

and at k B ¼ 0 for j ¼ 2; 4; 6; .... The maximization problem<br />

(11) is solved iteratively using the method of moving<br />

asymptotes MMA [17], which is based on a gradient descent<br />

approach.<br />

For the coupled problem of maximizing the overlap<br />

between band gaps for longitudinal and bending waves,<br />

the formulation becomes<br />

max<br />

z 2½0; 1Š N<br />

: Fðz; dÞ<br />

d 2½dmin; dmaxŠ<br />

¼ 2 min ðwL jþ1 ; wB iþ1 Þ max ðwL j ; wB i Þ<br />

min ðw L jþ1 ; wB iþ1 Þþmax ðwL j ; wB i Þ<br />

ð12Þ<br />

where i, i þ 1 denote the bending frequency bands and j,<br />

j þ 1 denote the longitudinal frequency bands.<br />

The FE problem (10) together with either (11) or (12)<br />

are the problem specific equivalents to (3) and (6) in the<br />

general formulation.<br />

Numerical examples<br />

We now study an actual maximization problem considering<br />

the two materials Aluminum (Material 1) and PMMA<br />

(Material 2) with material properties listed in Table 1.<br />

Comparing the two materials, Aluminum is the heavy and<br />

stiff material while PMMA is the light and soft material.<br />

As a first example, the relative band gap between the<br />

first and second frequency band (j ¼ 1) for longitudinal<br />

waves has been maximized. The resulting design is shown<br />

in Fig. 1. From (10) and (11) it can be shown, that the<br />

relative band gap sizes are independent of the base cell<br />

length. In the maximization algorithm this variable has<br />

been fixed at a value of d ¼ 8:70 cm for reasons that will<br />

be explained later. It is seen that the algorithm has chosen<br />

the two extreme materials 1 and 2 (corresponding to<br />

z e ¼ 0; 1 on the y-axis) instead of interpolations of the<br />

two. This is interpreted as favouring high contrast in the

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