Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation

Piezoelectric metamaterials with shunt resonant circuits have been extensively investigated for their tunability in bandgaps. However, the vibration attenuation ability induced by the electromechanical coupling is generally weaker than that of mechanical metamaterials, limiting their applications in...

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Main Authors: Jian, Yupei, Tang, Lihua, Hu, Guobiao, Wang, Yuesheng, Aw, Kean C.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/163375
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1633752022-12-05T04:55:49Z Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation Jian, Yupei Tang, Lihua Hu, Guobiao Wang, Yuesheng Aw, Kean C. School of Civil and Environmental Engineering Engineering::Mechanical engineering Piezoelectric Metamaterial Optimization Piezoelectric metamaterials with shunt resonant circuits have been extensively investigated for their tunability in bandgaps. However, the vibration attenuation ability induced by the electromechanical coupling is generally weaker than that of mechanical metamaterials, limiting their applications in engineering practice. This research presents a non-uniform piezoelectric metamaterial beam with shunt circuit parameters optimized by an adaptive genetic algorithm (AGA) for tailoring the vibration attenuation zone. First, the non-uniform piezoelectric metamaterial beam is modeled for transmittance analysis and verified by the finite element method. By simultaneously tuning the resonance frequencies and the resistance of the shunt circuits, it is conceptually demonstrated that the attenuation zone can be broadened, and the undesired localized vibration modes can be mitigated. Subsequently, two optimization strategies are proposed respectively for two typical vibration scenarios. The inductances and the load resistance in the shunt circuits constitute the set of design variables and are optimized by the AGA. Dedicated case studies are carried out, and the results show that the objective-oriented circuitry parameters can greatly enrich the design freedom, and tailor the transmittance profile according to a given vibration spectra. As compared to the conventional uniform and the graded piezoelectric metamaterial beams, the proposed design provides superior vibration attenuation performance and demonstrates a promising approach for tailoring piezoelectric metamaterials systems. This work was financially supported by a PhD scholarship from the China Scholarship Council (No. 201907000126). 2022-12-05T04:55:49Z 2022-12-05T04:55:49Z 2022 Journal Article Jian, Y., Tang, L., Hu, G., Wang, Y. & Aw, K. C. (2022). Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation. Smart Materials and Structures, 31(7), 075026-. https://dx.doi.org/10.1088/1361-665X/ac775d 0964-1726 https://hdl.handle.net/10356/163375 10.1088/1361-665X/ac775d 2-s2.0-85132933891 7 31 075026 en Smart Materials and Structures © 2022 IOP Publishing Ltd. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
Piezoelectric Metamaterial
Optimization
spellingShingle Engineering::Mechanical engineering
Piezoelectric Metamaterial
Optimization
Jian, Yupei
Tang, Lihua
Hu, Guobiao
Wang, Yuesheng
Aw, Kean C.
Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
description Piezoelectric metamaterials with shunt resonant circuits have been extensively investigated for their tunability in bandgaps. However, the vibration attenuation ability induced by the electromechanical coupling is generally weaker than that of mechanical metamaterials, limiting their applications in engineering practice. This research presents a non-uniform piezoelectric metamaterial beam with shunt circuit parameters optimized by an adaptive genetic algorithm (AGA) for tailoring the vibration attenuation zone. First, the non-uniform piezoelectric metamaterial beam is modeled for transmittance analysis and verified by the finite element method. By simultaneously tuning the resonance frequencies and the resistance of the shunt circuits, it is conceptually demonstrated that the attenuation zone can be broadened, and the undesired localized vibration modes can be mitigated. Subsequently, two optimization strategies are proposed respectively for two typical vibration scenarios. The inductances and the load resistance in the shunt circuits constitute the set of design variables and are optimized by the AGA. Dedicated case studies are carried out, and the results show that the objective-oriented circuitry parameters can greatly enrich the design freedom, and tailor the transmittance profile according to a given vibration spectra. As compared to the conventional uniform and the graded piezoelectric metamaterial beams, the proposed design provides superior vibration attenuation performance and demonstrates a promising approach for tailoring piezoelectric metamaterials systems.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Jian, Yupei
Tang, Lihua
Hu, Guobiao
Wang, Yuesheng
Aw, Kean C.
format Article
author Jian, Yupei
Tang, Lihua
Hu, Guobiao
Wang, Yuesheng
Aw, Kean C.
author_sort Jian, Yupei
title Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
title_short Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
title_full Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
title_fullStr Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
title_full_unstemmed Adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
title_sort adaptive genetic algorithm enabled tailoring of piezoelectric metamaterials for optimal vibration attenuation
publishDate 2022
url https://hdl.handle.net/10356/163375
_version_ 1751548501775351808