Design and analysis of sound insulation soft-solid metamaterials with periodic inclusions

Maciuszek A, Chojnacka K. Design and analysis of sound insulation soft-solid metamaterials with periodic inclusions. In: Express Paper. Audio Engineering Society; 2026.pp. 441:1-. Available from: https://aes.org/publications/elibrary-page/?id=23261

@inproceedings{Maciuszek2026_23261,
  author = {Maciuszek, Agata and Chojnacka, Klara},
  title = {{Design and analysis of sound insulation soft-solid metamaterials with periodic inclusions}},
  pages = {441:1-},
  year = {2026},
  month = may,
  publisher = {Audio Engineering Society},
  url = {}
}

TY  - CPAPER
TI  - Design and analysis of sound insulation soft-solid metamaterials with periodic inclusions
AU  - Maciuszek, Agata
AU  - Chojnacka, Klara
SP  - 1
M1  - Paper 441
PY  - 2026
DA  - 2026/05/28
UR  - https://aes.org/publications/elibrary-page/?id=23261
PB  - Audio Engineering Society
LA  - en
AB  - One of the many applications of acoustic metamaterials is the ability to substantially improve acoustic insulation in the low-frequency range compared to traditional materials. The objective of this study was to investigate a vibroacoustic metamaterial consisting of a soft solid plane with embedded inclusions. The analysed structure consists of a porous layer with periodic solid elements, which allows for enhanced insulation properties. A numerical model considering interactions between the acoustic domain and a solid was developed using COMSOL Multiphysics. The influence of selected material and geometric parameters, such as the shape of the inclusions and their placement, on the overall effectiveness of the structure was analysed. Based on the simulation results, a variant of the structure was selected and used to create a prototype of the metamaterial. The acoustic insulation of the constructed structure was then measured in the diffuse field. The next step is to conduct an optimization using the PSO algorithm in order to find geometry of the structure that can achieve the most favourable results in the selected frequency range. The optimized structure will then be validated by creating an additional sample and conducting another measurement.
ER  -