Vol. 20 No. 3 (2023): Journal of Non Destructive Testing and Evaluation (JNDE), Sept 2023
Research Papers

Ultrasonic Imaging for Detection and Mapping of Complex Pattern of Subsurface Cracks in Concrete

Suhaib Reyaz
Indian Institute of Technology Jammu
Surendra Beniwal
Indian Institute of Technology Jammu

Published 10-09-2023

Keywords

  • Subsurface cracks,
  • damage evaluation,
  • ultrasound,
  • plane wave imaging

How to Cite

Reyaz, S., & Surendra Beniwal. (2023). Ultrasonic Imaging for Detection and Mapping of Complex Pattern of Subsurface Cracks in Concrete. Journal of Non-Destructive Testing and Evaluation (JNDE), 20(3), 67–75. Retrieved from https://jnde.isnt.in/index.php/JNDE/article/view/40

Abstract

The cracks developed within the subsurface of the concrete need to be detected on time before their progression affects the structural performance and durability. However, these cracks have a complex geometry comprised of multiple segments of various lengths and orientation. Ultrasonic reflection-based imaging algorithms like TFM in concrete render images with low contrast and hence poor mapping of the reflectors. In this study instead of conventional imaging algorithms, plane wave imaging algorithm is used for reconstruction of subsurface images. The plane wave images have high contrast images and better mapped reflectors making it feasible for their geometrical quantification. The present study is aimed towards using plane wave ultrasonic imaging for detection and mapping of complex geometry of the subsurface reflectors embedded in the concrete experimentally. Two concrete blocks with their top having complex geometry and wrapped with polyethene sheets are placed in mould and whole specimen is cast with these embedded reflectors. The ultrasonic measurements are obtained using the ultrasonic array under each aperture. For smaller reflector 1 only one measurement is sufficient to map the whole geometry. However, for larger reflector 2, measurements are acquired at three different positions, the reconstructed images stitched together to achieve the complete geometry. The error in quantification of the geometrical properties remains contained within 6%. The study demonstrates the feasibility and effectiveness of imaging of complex geometry of subsurface cracks in the concrete using plane wave imaging.

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