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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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whereas if a is increased material 2 is dominating and for lower values of a material 1 is<br />

dominating. If m A ¼ 1 (e.g. a taut string) we have a ¼ 1=bo1 which shows that material 1 (the<br />

lighter material) is always dominant in the optimized design for this special case.<br />

3. The 2D scalar case<br />

We now consider the more complex problem of the 2D scalar case.<br />

3.1. Model<br />

The 2D scalar time-reduced wave equation (Helmholtz equation) is given by<br />

= T ðAðx; yÞ=wÞþo 2 Bðx; yÞw ¼ 0, (17)<br />

where the problem-dependent material coefficients A and B can now vary in the 2D plane ðx; yÞ.<br />

As in the 1D case we apply a standard FEM discretization, which leads to the discrete eigenvalue<br />

problem stated in Eqs. (2)–(3). The element matrices are in the 2D case given by<br />

Z<br />

ke ¼ ð ONÞ T Z<br />

ON dV; me ¼ N T N dV, (18)<br />

where<br />

V e<br />

" #<br />

O ¼ q=qx 0<br />

0 q=qy<br />

V e<br />

. (19)<br />

Also in the 2D case we may study different structural vibration problems by changing the two<br />

coefficients A and B. Letting A ¼ 1 and B ¼ r=T enables us to analyze the membrane problem<br />

where rðx; yÞ is the density and T is the uniform tension (force per area). Alternatively with<br />

A ¼ E=ð2ð1 þ nÞÞ, where Eðx; yÞ is Young’s modulus and nðx; yÞ is Poisson’s ratio, and with B ¼<br />

rðx; yÞ being the density, Eq. (19) governs out-of-plane shear vibrations of a thick elastic body.<br />

3.2. Optimization<br />

ARTICLE <strong>IN</strong> PRESS<br />

J.S. Jensen, N.L. Pedersen / Journal of Sound and Vibration 289 (2006) 967–986 977<br />

When we optimize a 2D domain with respect to maximizing the gap between eigenfrequencies<br />

there are a number of extra difficulties we must deal with. The primary source of the difficulties is<br />

the possibility of multiple eigenfrequencies. The multiple eigenfrequencies can be calculated<br />

without difficulty using, e.g. the subspace iteration method [20].<br />

The objective for the optimization is as in the 1D case given by<br />

maximize J ¼ onþ1 on, (20)<br />

where the gap between the eigenfrequency of order n þ 1 and n is maximized.<br />

If the eigenfrequencies of order n þ 1 and n are both distinct eigenpairs, with squared<br />

eigenfrequencies o 2 nþ1 and o2 n and corresponding eigenvectors f nþ1 and f n, no problems arise and<br />

we use the objective (20) directly since the sensitivities of the squared eigenfrequency with respect

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