# Analysis of the Dual-Functional Broadband Properties of an Asymmetric Piezoelectric Metamaterial Beam for Simultaneous Vibration Reduction and Energy Harvesting

## TL;DR

This paper explores a special beam structure that can both reduce vibrations and harvest energy, using a unique asymmetric design with piezoelectric materials.

## Contribution

The study introduces a grading method for an asymmetric piezoelectric metamaterial beam to achieve broadband dual functionality.

## Key findings

- Gradient modes enhance the dual-functional performance in both low-frequency and broadband ranges.
- The beam's design allows spatial frequency division and increased wave field energy for bending-dominated waves.
- Grading parameters significantly influence the beam's dual-functional properties.

## Abstract

This paper investigates the dual-functional broadband properties of an asymmetric piezoelectric metamaterial beam for simultaneous vibration reduction and energy harvesting. Firstly, a grading method is proposed, and an asymmetric piezoelectric metamaterial beam structure model with the gradient mode is established. The effects of various gradient modes on the grading parameters of each segment are examined. Subsequently, the band structure and group velocity of each segment are examined to elucidate the propagation and energy harvesting mechanisms for the bending-dominated wave. Furthermore, the evaluation criteria for dual-functional properties in the gradient mode are introduced, revealing the broadening law of the dual-functional band under various gradient modes. Finally, the theoretical results are analyzed and compared with the finite element method (FEM). The results show that in gradient mode, the bending-dominated wave in the asymmetric piezoelectric metamaterial beam generates the spatial frequency division and enhances wave field energy. Compared with the uniform mode, the gradient modes can simultaneously achieve dual-functional effects in both the low-frequency and broadband ranges, significantly improving performance. Parameters such as gradient modes and grading variation ranges significantly impact the dual-functional performance. By reasonably selecting the grading parameters, enhanced dual-functional performance can be achieved.