Single-Sensor Vibration Sensing in Anisotropic Composites Enabled by Disordered Metasurfaces

Area of Science:

• Materials Science
• Mechanical Engineering
• Acoustics

Background:

• Anisotropic composite structures exhibit complex wave propagation, requiring dense sensor networks for effective vibration analysis.
• Existing compressed sensing methods struggle with the directional nature of wave propagation in anisotropic materials.
• Developing efficient vibration sensing solutions is crucial for non-destructive testing and structural health monitoring.

Purpose of the Study:

• To introduce a compact, single-sensor vibration sensing (SSVS) system for anisotropic composites.
• To overcome the limitations of traditional sensing methods in anisotropic media.
• To enable high-fidelity localization and identification of multi-source vibrations.

Main Methods:

• Utilizing a disordered elastic metasurface coupled with anisotropic guided waves.
• Implementing random phase modulation to reduce sensing matrix coherence.
• Conducting comprehensive numerical simulations and experimental verification.

Main Results:

• The proposed SSVS system achieves high spatial resolution in vibration localization.
• The system demonstrates robust performance across diverse anisotropic lay-ups and vibration conditions.
• Successful identification of multi-source vibrations was achieved with a single sensor.

Conclusions:

• The disordered elastic metasurface effectively enables efficient vibration sensing in anisotropic composites.
• This SSVS framework offers a significant advancement for intelligent sensing in anisotropic materials.
• The approach has broad potential for non-destructive testing and structural health monitoring applications.