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WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...

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1606 J. S. JENSEN<br />

To compute a frequency response with a fine frequency resolution can be computationally costly<br />

since a numerical solution must be obtained for each considered frequency. Furthermore, if the<br />

analysis is the basis for an iterative optimization procedure this approach will in most cases be<br />

unfeasible. In this work, an efficient approach for obtaining the frequency response based on the<br />

solution form in Equation (1) is used and applied in a topology optimization procedure. Other<br />

methods can be used to reduce computational costs, e.g. the modal expansion technique which is<br />

especially applicable to lower frequency ranges where only a few modes influence the response [1].<br />

However, optimization of eigenvalues and eigenvectors often leads to non-smooth problems that<br />

might pose difficulties for optimization algorithms. Thus, the investigation of alternatives seems<br />

justified.<br />

In the proposed procedure, the expression in Equation (1) is used with fewer expansion terms<br />

in the numerator and denominator so that a good approximation for u is obtained only in a<br />

neighbourhood of 0. It will be demonstrated how the coefficients ãi and ˜bi can be computed by<br />

performing only a single factorizing of the system matrix S =− 2 M + iC + K for a chosen<br />

expansion frequency = 0, followed by relatively inexpensive forward-/back substitution in order<br />

to obtain gradients at 0. The rational polynomial expansion in Equation (1) can be recognized as<br />

the Padé approximant (PA) associated with an infinite power series of the form ∞ i=0 ci( − 0) i<br />

[2]. This paper will not go into the theory behind the PA. But due to the connection between the<br />

solution form in Equation (1) and a PA, the term PA is used throughout this work to describe the<br />

approximation and to characterize the proposed method.<br />

PA approximants have been popular as means for computing the frequency response of different<br />

dynamic systems at a low computational cost. They are the backbone of the so-called asymptotic<br />

waveform evaluation (AWE) methods [3], used for circuit analysis and for electromagnetic wave<br />

scattering problems, e.g. [4, 5]. In[6] the application to electromagnetic problems was extended<br />

to treat problems in bounded and open domains and in [7] PAs were used to obtain the response<br />

of vibro-acoustic systems over wide ranges of frequencies.<br />

The pure acoustic problem was considered by Djellouli et al. [8]. They used the PA to compute<br />

scattering of acoustic fields and compared the results to those obtained by a standard Taylor<br />

expansion. The PA algorithm was shown to outperform the Taylor expansion and give a good<br />

approximation over wide frequency ranges. The acoustic problem was treated also by Malhotra<br />

and Pinsky [9] and the work was extended in [10] by using a Krylov subspace projection method.<br />

In fact, the Krylov method has a strong link to matrix-valued PAs [11], also referred to as the<br />

Padé-via-Lanczos connection (PVL) [12].<br />

The possibility for using PA approximants to compute frequency responses with a high-frequency<br />

resolution was utilized in a previous optimization study by the author [13]. In that work, a photonic<br />

crystal waveguide was designed with a topology optimization approach. The PAs were<br />

used to accurately pinpoint a number of the most critical frequencies in the operational frequency<br />

range at a low computational cost. The optimization considered the performance for these<br />

critical frequencies which were repeatedly updated during the optimization process. Another optimization<br />

study was reported in [14], in which a PA was used to approximate the dynamic<br />

response for large variations of a design variable and used as a basis for finite element-based size<br />

optimization<br />

Only few works have considered direct optimization of the frequency response based on its<br />

PA. In [15] a procedure was developed for sensitivity analysis of PAs for 3-D microwave device<br />

applications. The formulation was suitable for shape/size optimization with a few design variables<br />

and was implemented in [16] to optimize microwave devices with up to four geometry design<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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