WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...
WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...
WAVES AND VIBRATIONS IN INHOMOGENEOUS STRUCTURES ...
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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].