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Z. Kristallogr. 220 (2005) 895–905 895<br />

# by Oldenbourg Wissenschaftsverlag, München<br />

Inverse design of phononic crystals by topology optimization<br />

Søren Halkjær, Ole Sigmund and Jakob S. Jensen*<br />

Technical University of Denmark, Department of Mechanical Engineering 2800 Kgs. Lyngby, Denmark<br />

Received July 13, 2004; accepted December 9, 2004<br />

Phononic crystal / Band gaps / Inverse design /<br />

Topology optimization<br />

Abstract. Band gaps, i.e frequency ranges for which<br />

waves cannot propagate, can be found in most elastic<br />

structures if the material or structure has a specific periodic<br />

modulation of material properties. In this paper, we<br />

maximize phononic band gaps for infinite periodic beams<br />

modelled by Timoshenko beam theory, for infinite periodic,<br />

thick and moderately thick plates, and for finite thick<br />

plates. Parallels are drawn between the different optimized<br />

crystals and structures and several new designs obtained<br />

using the topology optimization method.<br />

Introduction<br />

Phononic or sonic crystals (SCs) [1] offer a great variety of<br />

interesting and important design problems, e.g. how do we<br />

design crystals for maximum size of band gaps, i.e. the frequency<br />

ranges for which waves cannot propagate through<br />

the crystals, or how many crystals are needed in order to<br />

obtain the desired properties of a phononic crystal structure.<br />

Such design problems can usually be formulated as inverse<br />

problems: find the crystal or structure that satisfies some<br />

specified requirements. Determination of SC characteristics<br />

in form of e.g. band structures involves complex computations<br />

which typically makes the inverse design problem<br />

non-trivial. Most examples of solving this problem are<br />

based on size optimization using a few design variables and<br />

typically using genetic algorithms or other heuristic approaches.<br />

In this paper we solve three inverse design problems<br />

by using the topology optimization method which is<br />

based on a gradient-based algorithm with a large number of<br />

design variables and practically unlimited design freedom.<br />

Topology optimization has in the last decade evolved<br />

as a popular design tool in structural and material mechanics<br />

[2]. The first design problem to be solved was to<br />

find the optimal distribution of a restricted amount of material<br />

in a given domain that gives the stiffest possible<br />

structure [3]. Another design problem was to identify the<br />

material that has the lowest (negative!) Poisson’s ratio [4].<br />

The method is based on repeated material re-distributions<br />

* Correspondence author (e-mail: jsj@mek.dtu.dk)<br />

using a large number of continuous design variables, typically<br />

one for each element in the corresponding discretized<br />

model, and the use of computationally in-expensive<br />

analytical sensitivity analysis and advanced mathematical<br />

programming tools. Lately the method has been applied to<br />

other problems in alternative physics settings as well, ranging<br />

from MEMS and fluid dynamics to electromagnetics<br />

(see [2] for an overview).<br />

In the closely related research area of photonic crystals<br />

(PhCs) inverse design methods have received an increased<br />

focus [5] due to the potential large application possibilities<br />

for using PhCs in optical circuits. Cox and Dobson [6]<br />

used a material distribution method to design two-dimensional<br />

square photonic crystals with maximum band gaps.<br />

The references [7, 8] applied the topology optimization<br />

method to design photonic crystal waveguides. More traditional<br />

studies of photonic crystal structures using a few design<br />

variables and optimization based on either numerical<br />

sensitivity analysis, genetic algorithms, simulated annealing<br />

or a combination of these are seen in Refs. [9, 10].<br />

This study extends the results published in a recent paper<br />

[11] which presented some results for maximizing the<br />

band gap size of square lattice two-dimensional SCs and<br />

optimization of finite structures subjected to periodic loading.<br />

Here, we present results for maximizing the band gap<br />

size for bending and longitudinal waves in rods modelled<br />

by Timoshenko beam theory 1 , we optimize 2D crystals<br />

with quadratic and hexagonal base cells for inplane and<br />

bending waves, and finally present examples of optimized<br />

finite-size structures subjected to in-plane polarized waves.<br />

In previous work [13] we have performed experiments on<br />

simple longitudinal waves propagating in a 1D SC composed<br />

of PMMA and Aluminum. Since we plan to extend<br />

these experiments to plate and shell structures, we will<br />

throughout this paper make use of these two materials.<br />

The results of this paper will be used in the planning of<br />

the experiments.<br />

Inverse design by topology optimization<br />

The topology optimization method is a gradient-based optimization<br />

algorithm that is used to find optimal material<br />

1 A modelling study has previously been performed based on<br />

Bernoulli-Euler beam theory [12].

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