Abstract
Assessment of structural condition is essential for ensuring concrete integrity. Phased Array Ultrasonic Testing (PAUT) offers notable advantages for concrete inspection, including electronic beam steering and dynamic focusing; however, its application is challenged by signal attenuation, material heterogeneity, and limited defect resolution. This paper provides a comprehensive overview of PAUT's principles and applications in concrete structures, supported by experimental results and case studies. The study evaluates current limitations and highlights the novelty of advanced signal processing and machine learning integration to enhance defect detectability and improve data interpretation in heterogeneous concrete structures.
| Original language | English |
|---|---|
| Pages (from-to) | 993-1007 |
| Number of pages | 15 |
| Journal | Evergreen |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - Jun 2026 |
| Externally published | Yes |
Keywords
- Concrete
- Machine learning
- Phased Array Ultrasonic Testing
- Signal processing
Fingerprint
Dive into the research topics of 'Advancing Concrete Integrity Using Phased Array Ultrasonic Testing'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver