Suppression of sweeping fluctuation of Fabry-Perot filter in fiber Bragg grating interrogation using PSO-based self-adaptive sampling

Extensive research efforts have been dedicated to exploring the application of metamaterial beams for vibration suppression. However, most existing designs primarily focused on utiliz-ing the translational motion of local resonators to create band gaps. To address this limitation, this study proposes a novel design: a rigid-elastic combined metamaterial beam utilizing both translational and rotational motions of local resonators. Theoretical framework development involves extending the transfer matrix method (TMM) to incorporate rigid bodies, with analyt-ical results validated through finite element (FE) simulations and experimental data. Compared to conventional metamaterial beams, the proposed design exhibits an additional wide band gap in the low-frequency region that can be utilized for broadband vibration suppression. A para-metric study elucidates the influences of geometric parameters on band gap formation, fol-lowed by an exploration of tunability of the proposed meta-beam through a graded scheme and optimization strategy. In particular, a multiple-objective optimization approach is employed to enlarge the vibration suppression region and enhance vibration suppression ability. The opti-mized meta-beam demonstrates a remarkable 45% wider dominant suppression region and a 14% lower average transmittance compared to a uniform model.

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Suppression of sweeping fluctuation of Fabry-Perot filter in fiber Bragg grating interrogation using PSO-based self-adaptive sampling

Cited by 4 publications

References 21 publications

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Rigid-Elastic Combined Metamaterial Beam With Tunable Band Gaps for Broadband Vibration Suppression

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