The University of Southampton
University of Southampton Institutional Repository

Parameter optimization and energy flow analysis of the digital piezoelectric vibration absorber with nonlinear synthetic inductance

Parameter optimization and energy flow analysis of the digital piezoelectric vibration absorber with nonlinear synthetic inductance
Parameter optimization and energy flow analysis of the digital piezoelectric vibration absorber with nonlinear synthetic inductance
A digital nonlinear synthetic inductance is incorporated into theresonant shunt circuit in order to effectively mitigate nonlinear vibrations. Thetuning of the nonlinear inductance is determined based on the principle ofsimilarity. The dynamic response is obtained using the harmonic balanced method(HBM). The vibration power flow characteristics of the nonlinear system with thenonlinear piezoelectric tuned vibration absorber (NPTVA) are analysed tounderstand the mechanism behind the vibration suppression provided by thenonlinear inductance shunt circuit. A comparison with the linear piezoelectrictuned vibration absorber (LPTVA) reveals that the proposed NPTVA exhibitsadaptability to the hardening phenomenon associated with nonlinear vibrations.Based on the power flow analysis, the surrogate model-based optimization isemployed to determine the circuit parameters resulting in improved vibrationperformance compared to the analytical approach. The optimization results revealthat as the excitation amplitude increases, the optimal values for nonlinearinductance also need to be increased.
Zhong, Yucai
8318952e-e99b-4e85-8768-7d57ed7d29d3
Yuan, Jie
4bcf9ce8-3af4-4009-9cd0-067521894797
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Zhang, Zhenguo
fbd01ce7-8013-42f6-8f3d-8d20dabb9198
Zhong, Yucai
8318952e-e99b-4e85-8768-7d57ed7d29d3
Yuan, Jie
4bcf9ce8-3af4-4009-9cd0-067521894797
Yurchenko, Daniil
51a2896b-281e-4977-bb72-5f96e891fbf8
Zhang, Zhenguo
fbd01ce7-8013-42f6-8f3d-8d20dabb9198

Zhong, Yucai, Yuan, Jie, Yurchenko, Daniil and Zhang, Zhenguo (2024) Parameter optimization and energy flow analysis of the digital piezoelectric vibration absorber with nonlinear synthetic inductance. 14th International Conference on Recent Advances on Structural Dynamics, , Southampton, United Kingdom. 01 - 03 Jul 2024. 4 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

A digital nonlinear synthetic inductance is incorporated into theresonant shunt circuit in order to effectively mitigate nonlinear vibrations. Thetuning of the nonlinear inductance is determined based on the principle ofsimilarity. The dynamic response is obtained using the harmonic balanced method(HBM). The vibration power flow characteristics of the nonlinear system with thenonlinear piezoelectric tuned vibration absorber (NPTVA) are analysed tounderstand the mechanism behind the vibration suppression provided by thenonlinear inductance shunt circuit. A comparison with the linear piezoelectrictuned vibration absorber (LPTVA) reveals that the proposed NPTVA exhibitsadaptability to the hardening phenomenon associated with nonlinear vibrations.Based on the power flow analysis, the surrogate model-based optimization isemployed to determine the circuit parameters resulting in improved vibrationperformance compared to the analytical approach. The optimization results revealthat as the excitation amplitude increases, the optimal values for nonlinearinductance also need to be increased.

Text
Script-Ver2_revised_Final - Accepted Manuscript
Download (336kB)

More information

Published date: July 2024
Venue - Dates: 14th International Conference on Recent Advances on Structural Dynamics, , Southampton, United Kingdom, 2024-07-01 - 2024-07-03

Identifiers

Local EPrints ID: 493751
URI: http://eprints.soton.ac.uk/id/eprint/493751
PURE UUID: 8bec612c-33b4-4089-8df4-7c3843748c67
ORCID for Jie Yuan: ORCID iD orcid.org/0000-0002-2411-8789
ORCID for Daniil Yurchenko: ORCID iD orcid.org/0000-0002-4989-3634

Catalogue record

Date deposited: 12 Sep 2024 16:32
Last modified: 13 Sep 2024 02:09

Export record

Contributors

Author: Yucai Zhong
Author: Jie Yuan ORCID iD
Author: Daniil Yurchenko ORCID iD
Author: Zhenguo Zhang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×