Identification of Pipe Damage by Line-Structured Light and Regional Resonance Pairs

Area of Science:

• Engineering
• Materials Science
• Non-destructive Testing

Background:

• Structural Health Monitoring (SHM) requires robust methods for real-time damage assessment.
• Baseline-free SHM techniques are essential to avoid reliance on initial condition data.

Purpose of the Study:

• To develop and validate a novel baseline-free damage detection method for pipes.
• To enable Level 3 damage identification (detection, location, and quantification) without baseline data.

Main Methods:

• Integration of line-structured light (LSL) and regional resonance pairs (RRPs).
• Utilizing 5 damage indices and RRP frequency ratios for damage assessment.
• Sorting RRP frequencies to predict damage location and estimating damage extent via a quantitative relationship.

Main Results:

• Achieved approximately 90% accuracy in simulated test cases for damage detection, location, and quantification.
• Successfully validated the method using modal data from a pipe with artificial damage.

Conclusions:

• The proposed LSL and RRP combined method offers an effective baseline-free solution for pipe SHM.
• This research provides a novel approach for real-time, comprehensive damage identification in pipes.