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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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1618 J. S. JENSEN<br />

which is solved for kN+1, and then carrying on to solve the remaining equations<br />

P T 0 kN<br />

<br />

c<br />

=−<br />

u DN<br />

T <br />

c<br />

−<br />

ū ĒN<br />

T<br />

− P1kN+1<br />

(55)<br />

P T 0 ki<br />

<br />

c<br />

=−<br />

u Di<br />

T <br />

c<br />

−<br />

ū Ēi<br />

T<br />

− P1ki+1 − P2ki+2, i = N − 1, 0 (56)<br />

It is noted that with P0 already factorized all Lagrangian multipliers can be computed by forward-<br />

/back-substitutions.<br />

With ki given from Equations (54)–(56) the final expression for c ′ becomes<br />

c ′ = c ′ c<br />

0 =<br />

xi<br />

+ 2Re<br />

<br />

N+1 <br />

(k<br />

i=0<br />

T i P′ 0 + kT i+1P′ 1 + kT i+2P′ 2 )ui<br />

4. TOPOLOGY OPTIMIZATION OF FORCED <strong>VIBRATIONS</strong><br />

A formulation has been developed that allows for the design sensitivities to be computed without<br />

overwhelming computational effort regardless of the number of design variables. This makes the<br />

present method well suited for optimization problems with many design variables such as in<br />

topology optimization [19]. In a standard topology optimization implementation with the density<br />

approach, a single design variable is used for each finite element in the model, typically leading<br />

to thousands of variables. Therefore, a fast sensitivity analysis procedure is essential for practical<br />

applications.<br />

Two forced vibration problems are considered as application examples. Topology optimization<br />

of forced vibrations has been studied previously, e.g. by [1, 19–22]. All studies considered the<br />

dynamic performance at single or multiple excitation frequencies. With the proposed method the<br />

performance of the structure can be optimized in entire frequency ranges at little extra cost.<br />

The average response in the frequency range from 1 to 2 is considered:<br />

c =<br />

1<br />

2 − 1<br />

2<br />

u T Lū d ≈ 1<br />

1<br />

N<br />

N k=1<br />

<br />

(57)<br />

u T Lū (58)<br />

in which L is a diagonal matrix that is used to indicate the degrees of freedom that are considered in<br />

the optimization. The integral is well approximated by the sum if a sufficient number of evaluation<br />

points N is used (50–100 points are typically used in the examples). The objective function is<br />

written in terms of real and imaginary parts:<br />

c = 1<br />

N<br />

N k=1<br />

so that the complex derivatives can be computed<br />

<br />

c 1 c<br />

= − i<br />

u 2 uR<br />

c<br />

<br />

uI<br />

(u T R LuR + u T I LuI) (59)<br />

= 1<br />

N<br />

N k=1<br />

ū T L (60)<br />

Copyright q 2007 John Wiley & Sons, Ltd. Int. J. Numer. Meth. Engng 2007; 72:1605–1630<br />

DOI: 10.1002/nme

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