Structural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Index

Area of Science:

• Materials Science
• Mechanical Engineering
• Non-Destructive Testing

Background:

• Structural health monitoring (SHM) is crucial for assessing the integrity of materials and components.
• Real-time damage detection and assessment are essential for preventing catastrophic failures.
• Existing methods may lack efficiency or robustness in complex structural environments.

Purpose of the Study:

• To introduce a new damage index, the degree of health (DoH), for efficient real-time structural damage monitoring.
• To develop a pattern matching methodology utilizing ultrasonic guided waves and fuzzy logic for damage assessment.
• To evaluate the performance of the proposed method in identifying fatigue crack damage.

Main Methods:

• Generation of ultrasonic guided waves using transmission beamforming with phased-array piezoelectric transducers.
• Acquisition of signals using two phased-arrays to compare pulse-echo and pitch-catch modes.
• Application of a pattern matching methodology based on time-of-flight mismatch and fuzzy logic.
• Illustration of the framework using a fatigue test on an aluminum sheet with a notch.

Main Results:

• The proposed degree of health (DoH) index demonstrated efficiency in real-time structural damage monitoring.
• The pattern matching methodology effectively identified fatigue crack damage.
• Both pulse-echo and pitch-catch modes, when analyzed with the DoH index, provided valuable damage assessment data.
• The transmission beamforming technique proved effective for SHM data acquisition.

Conclusions:

• The developed degree of health (DoH) index offers a robust framework for structural health monitoring.
• The fuzzy logic-based pattern matching approach provides both qualitative and quantitative assessment of fatigue crack damage.
• The integration of transmission beamforming with guided wave analysis enhances damage detection capabilities.