Optimized ultrathin hybrid sound absorption metasurfaces with preserved hydrostatic pressure-resistant.
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| Title: | Optimized ultrathin hybrid sound absorption metasurfaces with preserved hydrostatic pressure-resistant. |
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| Authors: | Feng, Jiaming1 (AUTHOR), Liang, Qingxuan1 (AUTHOR) liangqx728@xjtu.edu.cn, Yan, Xin1 (AUTHOR), Li, Dichen1 (AUTHOR) |
| Source: | Materials & Design. May2025, Vol. 253, pN.PAG-N.PAG. 1p. |
| Subjects: | Artificial neural networks, Absorption of sound, Hydrostatic pressure, Honeycomb structures, Mechanical energy |
| Abstract: | [Display omitted] • The multi-parameter co-optimization is achieved in underwater hybrid metasurfaces by artificial neural network. • Differentiated mechanical energy flows from hybrid coupling effect promote sound absorption. • The introduction of honeycomb structure improves broadband impedance matching. • The synergistic resistance effect enhances hydrostatic pressure-resistant performance. High-efficiency waterborne sound absorption with a high hydrostatic pressure resistance is a crucial ability for underwater noise-control engineering. Herein, driven by artificial neural network (ANN), a desirable design method is proposed to construct ultrathin underwater acoustic hybrid metasurface with the characteristic of hydrostatic pressure resistance. As a demonstration, two hybrid metasurfaces (containing different proportions of cavities and scatterers) are designed, manufactured and experimentally measured, with all the functionalities displaying high-efficiency sound absorption (over 0.80 and 0.88 respectively) in 0.8–10 kHz and ultrathin thickness of 32 mm. The hybrid coupling effect reveals that the differentiation of mechanical energy flow (MEF) among the sub-surfaces can promote the sound absorption. Additionally, the introduced honeycomb structure plays an important role in good impedance matching of the hybrid metasurfaces. More importantly, due to the addition of matching cover layer, the synergistic resistance effect enhances the average sound absorption performances of the hybrid metasurfaces within 3 MPa hydrostatic pressure. This work provides more possibilities for the engineering applications of underwater metasurfaces. [ABSTRACT FROM AUTHOR] |
| Copyright of Materials & Design is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 185597124 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Optimized ultrathin hybrid sound absorption metasurfaces with preserved hydrostatic pressure-resistant. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Feng%2C+Jiaming%22">Feng, Jiaming</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liang%2C+Qingxuan%22">Liang, Qingxuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liangqx728@xjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yan%2C+Xin%22">Yan, Xin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Dichen%22">Li, Dichen</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Materials+%26+Design%22">Materials & Design</searchLink>. May2025, Vol. 253, pN.PAG-N.PAG. 1p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink><br /><searchLink fieldCode="DE" term="%22Absorption+of+sound%22">Absorption of sound</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrostatic+pressure%22">Hydrostatic pressure</searchLink><br /><searchLink fieldCode="DE" term="%22Honeycomb+structures%22">Honeycomb structures</searchLink><br /><searchLink fieldCode="DE" term="%22Mechanical+energy%22">Mechanical energy</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: [Display omitted] • The multi-parameter co-optimization is achieved in underwater hybrid metasurfaces by artificial neural network. • Differentiated mechanical energy flows from hybrid coupling effect promote sound absorption. • The introduction of honeycomb structure improves broadband impedance matching. • The synergistic resistance effect enhances hydrostatic pressure-resistant performance. High-efficiency waterborne sound absorption with a high hydrostatic pressure resistance is a crucial ability for underwater noise-control engineering. Herein, driven by artificial neural network (ANN), a desirable design method is proposed to construct ultrathin underwater acoustic hybrid metasurface with the characteristic of hydrostatic pressure resistance. As a demonstration, two hybrid metasurfaces (containing different proportions of cavities and scatterers) are designed, manufactured and experimentally measured, with all the functionalities displaying high-efficiency sound absorption (over 0.80 and 0.88 respectively) in 0.8–10 kHz and ultrathin thickness of 32 mm. The hybrid coupling effect reveals that the differentiation of mechanical energy flow (MEF) among the sub-surfaces can promote the sound absorption. Additionally, the introduced honeycomb structure plays an important role in good impedance matching of the hybrid metasurfaces. More importantly, due to the addition of matching cover layer, the synergistic resistance effect enhances the average sound absorption performances of the hybrid metasurfaces within 3 MPa hydrostatic pressure. This work provides more possibilities for the engineering applications of underwater metasurfaces. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Materials & Design is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.matdes.2025.113971 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 1 StartPage: N.PAG Subjects: – SubjectFull: Artificial neural networks Type: general – SubjectFull: Absorption of sound Type: general – SubjectFull: Hydrostatic pressure Type: general – SubjectFull: Honeycomb structures Type: general – SubjectFull: Mechanical energy Type: general Titles: – TitleFull: Optimized ultrathin hybrid sound absorption metasurfaces with preserved hydrostatic pressure-resistant. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Feng, Jiaming – PersonEntity: Name: NameFull: Liang, Qingxuan – PersonEntity: Name: NameFull: Yan, Xin – PersonEntity: Name: NameFull: Li, Dichen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 02641275 Numbering: – Type: volume Value: 253 Titles: – TitleFull: Materials & Design Type: main |
| ResultId | 1 |
