Vibroacoustics of Periodic Porous Media and Resonant Metamaterials
A special issue of Acoustics (ISSN 2624-599X).
Deadline for manuscript submissions: 24 September 2026 | Viewed by 60
Special Issue Editor
Special Issue Information
Dear Colleagues,
Advances in periodic and graded materials, poroelastic media, and resonant metamaterials are reshaping low-frequency sound and vibration control across aerospace, transportation, and the built environment. This Special Issue seeks contributions that elucidate structural–acoustic coupling, wave dispersion/bandgaps, dissipation, and compact resonance-based solutions (e.g., Helmholtz or labyrinthine concepts), supported by rigorous modeling and validation. Studies that connect physical insight with design workflows—such as high-fidelity simulation (FEM/WFE/BEM), topology/material optimization, uncertainty quantification, and machine learning—are particularly welcome.
Topics of interest include, but are not limited to, the following:
- Structural–acoustic coupling in periodic, graded, and architected media, as well as dispersion and bandgap engineering;
- Poroelastic treatments and foams within Biot-type frameworks, as well as impedance models and nonlocal effects;
- Resonant concepts for subwavelength attenuation and broadbanding strategies;
- Modeling approaches (FEM, WFE, BEM/BEM-FEM coupling), reduced-order and data-driven surrogates, and inverse/optimization loops;
- Experimental methods (impedance tubes, flow ducts, vibrometry, near-field scanning, acoustic holography, and benchmarking protocols);
- Robust design under manufacturing tolerances, as well as uncertainty quantification and reliability;
- Applications such as aircraft fuselages and liners, eVTOL/UAM, automotive/rail, HVAC and built environments, machinery noise, and metasurface enclosures.
Dr. Dario Magliacano
Guest Editor
Manuscript Submission Information
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Keywords
- vibroacoustics
- periodic/graded media
- poroelastic acoustics
- resonant metamaterials
- Helmholtz resonators
- membrane absorbers
- dispersion/bandgaps
- FEM/WFE/BEM
- optimization
- machine learning
- experimental validation
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