A Novel Acoustic Ventilation Barrier Based on the Block-Shaped Space-Coiling Metamaterial

Newly emerged acoustic barriers provide effective solutions for noise reductions of varied kinds in which acoustic barriers made of Fano resonance-based space-coiling metamaterial are reported to have promising application prospects for their broadband noise reduction ability and good ventilation performance. However, current Fano resonance-based acoustic ventilation barriers are hard to practically apply since most of them are difficult to manufacture or install. To this end, this research proposes a novel acoustic ventilation barrier based on block-shaped space-coiling metamaterial, which is not only as functional as other acoustic ventilation barriers but also easy to manufacture and install. To obtain a more in-depth understanding of the noise reduction effect, the influence of the design parameters on transmission loss is numerically studied. Additionally, we conduct both numerical and experimental studies on the transmission loss and the ventilation performance of a full-scale meta-unit. Furthermore, through the corresponding optimization process, the proposed acoustic ventilation barrier can have transmission loss consistently above 10 dB across the frequency range of 495~1063 Hz. Lastly, a composite ventilation acoustic barrier obtained by stacking two layers of different proposed metamaterials is presented, which achieves multiband noise reduction performance across the ultra-broad frequency range of 479~1758 Hz.

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Publication Details

Journal
Applied Sciences
Published
2025-01-10
DOI
https://doi.org/10.3390/app15020619
Citations
3
Primary Topic
Acoustic Wave Phenomena Research
Type
article
Field-Weighted Citation Impact
2.02

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article

A Novel Acoustic Ventilation Barrier Based on the Block-Shaped Space-Coiling Metamaterial

Chunfeng Zhao, Qiaoyun Wu, Zhifeng Xu, Zhe Xu et al.
3 citations
Applied Sciences
Acoustic Wave Phenomena Research
2.02
article

A Novel Acoustic Ventilation Barrier Based on the Block-Shaped Space-Coiling Metamaterial

Chunfeng Zhao, Qiaoyun Wu, Zhifeng Xu, Zhe Xu, Lan Ding
article en
3 citations

Abstract

Newly emerged acoustic barriers provide effective solutions for noise reductions of varied kinds in which acoustic barriers made of Fano resonance-based space-coiling metamaterial are reported to have promising application prospects for their broadband noise reduction ability and good ventilation performance. However, current Fano resonance-based acoustic ventilation barriers are hard to practically apply since most of them are difficult to manufacture or install. To this end, this research proposes a novel acoustic ventilation barrier based on block-shaped space-coiling metamaterial, which is not only as functional as other acoustic ventilation barriers but also easy to manufacture and install. To obtain a more in-depth understanding of the noise reduction effect, the influence of the design parameters on transmission loss is numerically studied. Additionally, we conduct both numerical and experimental studies on the transmission loss and the ventilation performance of a full-scale meta-unit. Furthermore, through the corresponding optimization process, the proposed acoustic ventilation barrier can have transmission loss consistently above 10 dB across the frequency range of 495~1063 Hz. Lastly, a composite ventilation acoustic barrier obtained by stacking two layers of different proposed metamaterials is presented, which achieves multiband noise reduction performance across the ultra-broad frequency range of 479~1758 Hz.

Applied SciencesVol. 15(2)
Hefei University of Technology (CN), China University of Geosciences (CN), Wuhan Institute of Technology (CN)
National Natural Science Foundation of China, Science Fund for Distinguished Young Scholars of Hubei Province
Affordable and clean energy
Openalex Percentile: Top 16%
Acoustic Wave Phenomena Research
2.02
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A Novel Acoustic Ventilation Barrier Based on the Block-Shaped Space-Coiling Metamaterial — Chunfeng Zhao, Qiaoyun Wu, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS