A parametric beam lattice model is formulated to analyze the propagation properties of elastic inplane waves in an auxetic material based on a hexachiral topology of the periodic cell, equipped with inertial local resonators. The Floquet–Bloch boundary conditions are imposed on a loworder linear model, suitably reduced to the only dynamically active degrees-of-freedom through a quasistatic stiffness condensation. Since the resonators can be designed to open and shift band gaps, an optimal design, focused on the largest possible gap in the low-frequency range, is achieved by solving a maximization problem in the bounded space of the significant geometrical and mechanical parameters. A local optimized solution, for a the lowest pair of consecutive dispersion curves, is found by employing the globally convergent version of the method of moving asymptotes, combined with Monte Carlo and quasi-Monte Carlo multi-start techniques.

Optimal design of auxetic hexachiral metamaterials with local resonators

Bacigalupo A;Gnecco G
2016-01-01

Abstract

A parametric beam lattice model is formulated to analyze the propagation properties of elastic inplane waves in an auxetic material based on a hexachiral topology of the periodic cell, equipped with inertial local resonators. The Floquet–Bloch boundary conditions are imposed on a loworder linear model, suitably reduced to the only dynamically active degrees-of-freedom through a quasistatic stiffness condensation. Since the resonators can be designed to open and shift band gaps, an optimal design, focused on the largest possible gap in the low-frequency range, is achieved by solving a maximization problem in the bounded space of the significant geometrical and mechanical parameters. A local optimized solution, for a the lowest pair of consecutive dispersion curves, is found by employing the globally convergent version of the method of moving asymptotes, combined with Monte Carlo and quasi-Monte Carlo multi-start techniques.
2016
auxetic materials, chirality; wave propagation; band gap optimization, method of moving asymptotes
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11771/6647
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