Frequency response function data of a composite plate under various damage identification scenarios.

Area of Science:

• Structural Dynamics
• Materials Science
• Mechanical Engineering

Background:

• Damage identification in composite structures is crucial for safety and maintenance.
• Traditional methods like ultrasonic testing have limitations.
• Low-frequency vibration analysis offers a promising alternative for non-destructive evaluation.

Purpose of the Study:

• To present data for damage identification research in a composite plate.
• To establish a benchmark test case for comparing different damage identification methods.
• To demonstrate the feasibility of using Frequency Response Functions (FRFs) for damage detection.

Main Methods:

• Collected Frequency Response Functions (FRFs) using an impact hammer and accelerometers.
• Instrumented a composite plate with 7 accelerometers.
• Simulated damage by attaching added masses to the plate.
• Defined a dense grid of potential damage locations for comprehensive testing.

Main Results:

• Acquired baseline FRFs from an undamaged plate.
• Collected FRFs for 6 different damage scenarios with simulated damage.
• The data serves as a proof-of-concept for damage identification using vibration analysis.
• The experimental setup provides a reference for validating analytical and numerical models.

Conclusions:

• The presented data supports research in structural damage identification.
• Low-frequency vibration measurements are effective for detecting simulated damage in composite plates.
• The study establishes a valuable reference dataset for the structural dynamics community.