Vibration damping of fiberglass honeycomb sandwich panels based on the acoustic black hole effect

An Acoustic Black Hole (ABH) is a scatterer, embedded in a panel, allowing passive vibration control without adding mass. In practice, it is achieved by means of a local reduction in thickness (axisymmetric pit with a parabolic profile) and the addition of a thin viscoelastic coating in a central region of uniform thickness (plateau). The vibration absorption induced by the ABH, enables the design of stiff, light and non-resonant panels. In this paper, a study of the ABH effect for a sandwich panel made of a honeycomb core and fiberglass skins, which gives rise to both bending and shear effects is conducted. In particular, it is shown that the equations of motion of the thick, symmetrical sandwich panel with variable characteristics is obtained within the framework of the Nilsson’s theory. These equations lead to a sixth-order analytical model that is used to determine the dispersion curves of the sandwich and also to establish an analytical model of the ABH inserted in a sandwich panel. Experimental tests postproceed by two complementary inverse methods are used to characterize the sandwich’s mechanical properties. In particular, the model powered by experimentally determined parameters is used to analyze the effect of shear on the ABH effect, and to demonstrate that shear-induced softening is beneficial to ABH-induced absorption. • Sandwich Characterization. • Analytical model. • Acoustic Black Hole (ABH) in Sandwich.

Authors

Institutions

Publication Details

Journal
Journal of Sound and Vibration
Published
2025-02-07
DOI
https://doi.org/10.1016/j.jsv.2025.118991
Citations
11
Primary Topic
Acoustic Wave Phenomena Research
Type
article
Field-Weighted Citation Impact
7.42

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Vibration damping of fiberglass honeycomb sandwich panels based on the acoustic black hole effect

François Gautier, Frédéric Ablitzer, Omar Aklouche, Patrick O’Donoughue et al.
11 citations
Journal of Sound and Vibration
Acoustic Wave Phenomena Research
7.42
article

Vibration damping of fiberglass honeycomb sandwich panels based on the acoustic black hole effect

François Gautier, Frédéric Ablitzer, Omar Aklouche, Patrick O’Donoughue, Adrien Pelat, Alex Besse
article en
11 citations

Abstract

An Acoustic Black Hole (ABH) is a scatterer, embedded in a panel, allowing passive vibration control without adding mass. In practice, it is achieved by means of a local reduction in thickness (axisymmetric pit with a parabolic profile) and the addition of a thin viscoelastic coating in a central region of uniform thickness (plateau). The vibration absorption induced by the ABH, enables the design of stiff, light and non-resonant panels. In this paper, a study of the ABH effect for a sandwich panel made of a honeycomb core and fiberglass skins, which gives rise to both bending and shear effects is conducted. In particular, it is shown that the equations of motion of the thick, symmetrical sandwich panel with variable characteristics is obtained within the framework of the Nilsson’s theory. These equations lead to a sixth-order analytical model that is used to determine the dispersion curves of the sandwich and also to establish an analytical model of the ABH inserted in a sandwich panel. Experimental tests postproceed by two complementary inverse methods are used to characterize the sandwich’s mechanical properties. In particular, the model powered by experimentally determined parameters is used to analyze the effect of shear on the ABH effect, and to demonstrate that shear-induced softening is beneficial to ABH-induced absorption. • Sandwich Characterization. • Analytical model. • Acoustic Black Hole (ABH) in Sandwich.

Journal of Sound and VibrationVol. 604
Centre National de la Recherche Scientifique (FR), Le Mans Université (FR), Institut des Molécules et Matériaux du Mans (FR)
Le Mans Université
Affordable and clean energy
Openalex Percentile: Top 3%
Acoustic Wave Phenomena Research
7.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.