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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 88
PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: B.H.V. Topping and M. Papadrakakis
Paper 72
Time-Space Topology Optimization J.S. Jensen
Solid Mechanics, Department of Mechanical Engineering, Technical University of Denmark, Lyngby, Denmark J.S. Jensen, "Time-Space Topology Optimization", in B.H.V. Topping, M. Papadrakakis, (Editors), "Proceedings of the Ninth International Conference on Computational Structures Technology", Civil-Comp Press, Stirlingshire, UK, Paper 72, 2008. doi:10.4203/ccp.88.72
Keywords: dynamic materials, topology optimization, wave propagation, transient analysis.
Summary
The concept of dynamic materials was first introduced by Lurie (for an overview see for example the recent monograph
[1]). The concept implies structures with material
properties that can vary in both space and time. Such structures
have rich dynamic behavior and may exhibit phenomena not
attainable with standard static structures. This paper introduces
the concept of time-space topology optimization in order to
synthesize and optimize wave propagation in structures with
dynamic materials. Topology optimization of transient wave
propagation for a one-dimensional structure was recently studied
[2]. It was demonstrated that periodic bandgap structures
could be synthesized and that structures could be optimized so
that they can be used for wave pulse shaping for example by turning a
single input pulse into two temporally consecutive output pulses.
Transient formulations of the topology optimization problem have
been studied previously, for example for three-dimensional elastodynamic vibrations
[3]and for three-dimensional electromagnetic wave propagation
[4].
The proposed time-space topology optimization formulation introduces a two-dimensional design grid (for a one-dimensional spatial structure). The spatial grid-direction corresponds to the finite element discretization and the temporal grid-direction is divided into equally sized steps. In this way the material property of each structural point can attain different values at different times depending on the corresponding design variable. A gradient-based optimization formulation is used with the sensitivities computed with the adjoint method. The paper shows examples of the analysis of dynamic structures using different numerical techniques and discusses the importance of the choice of a proper time integration algorithm. Examples of topology optimized structures will be given, for example dynamic bandgap structures and pulse shaping structures. The performance of these structures is compared to their static counterparts. References
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