Multistable locally resonant elastic metamaterial with tunable anisotropy

Siyu Ren, Yijun Chai, Xiongwei Yang · Springer Science and Business Media LLC · 2025

A novel multistable locally resonant elastic metamaterial with tunable anisotropy is proposed, showing potential for various applications.

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Plain English summary

This research introduces a new type of metamaterial that can change its properties based on external forces. It has four different configurations that can be switched between, each offering unique vibration and sound attenuation characteristics. The material's ability to adjust its anisotropy allows for flexible control over its performance in different directions.

Why this matters

The development of multistable metamaterials can lead to innovative solutions in fields requiring advanced vibration control and sound management. This research could impact industries that rely on materials with customizable properties, enhancing performance in various applications.

Key findings

  • Proposed a novel multistable locally resonant elastic metamaterial.
  • Exhibits four configurations with different bandgap ranges.
  • Demonstrates tunable anisotropy in bandgap properties.
  • Achieved a bandgap shifting ratio of 100%.
  • Validated the feasibility of the multistable strategy through simulations.

What's new

Introduces a reversible multistable strategy in locally resonant elastic metamaterials with tunable anisotropic properties.

Limitations

The abstract does not provide details on practical applications or experimental validation beyond simulations.

Commercial context

The research is primarily theoretical and based on simulations, lacking experimental validation or commercial application.

Publication

Publisher
Springer Science and Business Media LLC
Publication date
September 1, 2025
Research type
Paper
License
https://creativecommons.org/licenses/by/4.0

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18