Computational parameter retrieval approach to the dynamic homogenization of a periodic array of rigid rectangular blocks
Armand Wirgin

TL;DR
This paper introduces a computational inverse method to determine the effective acoustic properties of a periodic array of rigid blocks, validating static predictions at low frequencies and revealing complex dispersive behavior at higher frequencies.
Contribution
It presents a novel parameter retrieval approach for dynamic homogenization of periodic structures, bridging static and high-frequency acoustic responses.
Findings
Effective properties match static predictions at low frequencies.
Dispersive behavior observed at higher frequencies.
Homogenization accuracy depends on frequency and filling factor.
Abstract
We propose to homogenize a periodic (along one direction) structure, first in order to verify the quasi-static prediction of its response to an acoustic wave arising from mixing theory, then to address the question of what becomes of this prediction at higher frequencies. This homogenization is treated as an inverse (parameter retrieval) problem, i.e., by which we: (1) generate far-field (i.e., specular reflection and transmission coefficients) response data for the given periodic structure, (2) replace (initially by thought) this (inhomgoeneous) structure by a homogeneous (surrogate) layer, (3) compute the response of the surrogate layer response for various trial constitutive properties, (4) search for the global minimum of the discrepancy between the response data of the given structure and the various trial parameter responses (5) attribute the homogenized properties of the…
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Taxonomy
TopicsAcoustic Wave Phenomena Research · Advanced Mathematical Modeling in Engineering · Composite Material Mechanics
