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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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. |
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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 |
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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. |
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School of Civil and Environmental Engineering |
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School of Civil and Environmental Engineering Jian, Yupei Tang, Lihua Hu, Guobiao Wang, Yuesheng Aw, Kean C. |
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Article |
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Jian, Yupei Tang, Lihua Hu, Guobiao Wang, Yuesheng Aw, Kean C. |
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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 |
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2022 |
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https://hdl.handle.net/10356/163375 |
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1751548501775351808 |