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Advancing Concrete Integrity Using Phased Array Ultrasonic Testing

Research output: Contribution to journal › Article › peer-review

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 languageEnglish
Pages (from-to)993-1007
Number of pages15
JournalEvergreen
Volume13
Issue number2
DOIs
Publication statusPublished - Jun 2026
Externally publishedYes

Keywords

  • Concrete
  • Machine learning
  • Phased Array Ultrasonic Testing
  • Signal processing

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