Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge
Impedance-matching structures (IMSs) with low sound transmission loss (TL) are of great importance in engineering applications. Due to the limitations of the traditional research methods, the designs of the IMSs were usually empirically guided, e.g., following impedance-gradient. In this work, we pr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-08-01
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| Series: | Materials & Design |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0264127523005063 |
| _version_ | 1827859608158339072 |
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| author | Junjie Gu Qingkun Zhao Binglun Yin Haofei Zhou Shaoxing Qu |
| author_facet | Junjie Gu Qingkun Zhao Binglun Yin Haofei Zhou Shaoxing Qu |
| author_sort | Junjie Gu |
| collection | DOAJ |
| description | Impedance-matching structures (IMSs) with low sound transmission loss (TL) are of great importance in engineering applications. Due to the limitations of the traditional research methods, the designs of the IMSs were usually empirically guided, e.g., following impedance-gradient. In this work, we propose an approach introducing a priori knowledge into data-driven structural optimization of IMSs at low frequencies (0–10 kHz), reaching a 31.78% decrease of average TL compared to conventional impedance-gradient designs. Contradicting the long-standing wisdom (impedance-gradient), an impedance-jumping layer appears in the optimized structure, which is revealed to lower TL at frequencies 0–5 kHz but at a cost of TL increasing at higher frequencies (5–10 kHz). Then the introduction of inhomogeneity alleviates this degeneration and enhances the overall performance of the IMSs. The methodology and results in this work motivate the novel designs of high-performance acoustic metamaterials for waterborne applications. |
| first_indexed | 2024-03-12T13:10:49Z |
| format | Article |
| id | doaj.art-ee01a8e75d0942fca6ad7f9873783105 |
| institution | Directory Open Access Journal |
| issn | 0264-1275 |
| language | English |
| last_indexed | 2024-03-12T13:10:49Z |
| publishDate | 2023-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Materials & Design |
| spelling | doaj.art-ee01a8e75d0942fca6ad7f98737831052023-08-28T04:22:16ZengElsevierMaterials & Design0264-12752023-08-01232112091Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledgeJunjie Gu0Qingkun Zhao1Binglun Yin2Haofei Zhou3Shaoxing Qu4State Key Laboratory of Fluid Power & Mechatronic System, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Hangzhou 310027, China; Center for X-Mechanics and Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Fluid Power & Mechatronic System, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Hangzhou 310027, China; Center for X-Mechanics and Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, ChinaState Key Laboratory of Fluid Power & Mechatronic System, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Hangzhou 310027, China; Center for X-Mechanics and Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China; Corresponding authors.State Key Laboratory of Fluid Power & Mechatronic System, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Hangzhou 310027, China; Center for X-Mechanics and Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China; Corresponding authors.State Key Laboratory of Fluid Power & Mechatronic System, Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Hangzhou 310027, China; Center for X-Mechanics and Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, China; Corresponding authors.Impedance-matching structures (IMSs) with low sound transmission loss (TL) are of great importance in engineering applications. Due to the limitations of the traditional research methods, the designs of the IMSs were usually empirically guided, e.g., following impedance-gradient. In this work, we propose an approach introducing a priori knowledge into data-driven structural optimization of IMSs at low frequencies (0–10 kHz), reaching a 31.78% decrease of average TL compared to conventional impedance-gradient designs. Contradicting the long-standing wisdom (impedance-gradient), an impedance-jumping layer appears in the optimized structure, which is revealed to lower TL at frequencies 0–5 kHz but at a cost of TL increasing at higher frequencies (5–10 kHz). Then the introduction of inhomogeneity alleviates this degeneration and enhances the overall performance of the IMSs. The methodology and results in this work motivate the novel designs of high-performance acoustic metamaterials for waterborne applications.http://www.sciencedirect.com/science/article/pii/S0264127523005063Impedance jumpingSound transmission lossAcoustic metamaterialsDigital materialsMachine learning |
| spellingShingle | Junjie Gu Qingkun Zhao Binglun Yin Haofei Zhou Shaoxing Qu Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge Materials & Design Impedance jumping Sound transmission loss Acoustic metamaterials Digital materials Machine learning |
| title | Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge |
| title_full | Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge |
| title_fullStr | Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge |
| title_full_unstemmed | Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge |
| title_short | Lowering the sound transmission loss of impedance-matching structures: Data-driven optimization assisted with a priori knowledge |
| title_sort | lowering the sound transmission loss of impedance matching structures data driven optimization assisted with a priori knowledge |
| topic | Impedance jumping Sound transmission loss Acoustic metamaterials Digital materials Machine learning |
| url | http://www.sciencedirect.com/science/article/pii/S0264127523005063 |
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