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Trends in GPR and Other NDTs for Transport Infrastructure Assessment

Edited by
October 2021
302 pages
  • ISBN978-3-0365-2123-7 (Hardback)
  • ISBN978-3-0365-2124-4 (PDF)
https://doi.org/10.3390/books978-3-0365-2124-4
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This book is a reprint of the Special Issue Trends in GPR and Other NDTs for Transport Infrastructure Assessment that was published in

Engineering
Environmental & Earth Sciences
Summary

This book is a printed edition of the Special Issue "Trends in GPR and other NDTs for Transport Infrastructure Assessment" that was published in Remote Sensing. This compilation of papers has been published to offer an extensive up-to-date overview of the state-of-the-art research activities in the challenging field of applying Ground-Penetrating Radar (GPR) and other nondestructive testing (NDT) methods for the assessment of transport infrastructure. New findings are addressed in 12 original research papers and 1 review paper, including various subjects such as pavements, railways, bridges, tunnels, and retaining walls. The best practices, troubleshooting, and future perspectives of the method for infrastructure inspection are also discussed in this reprint.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
Ground Penetrating Radar; pavement monitoring; spectral analysis; NDT; ground penetrating radar (GPR); frequency–wavenumber (f–k) analysis; super resolution (SR) image; deep learning; noise reduction; directivity analysis; interferometric synthetic aperture radar; InSAR; permanent scatterers; PS-InSAR; transport infrastructure maintenance; airport runway; airport monitoring; ground penetrating radar; inspection; pavements; railways; bridges; tunnels; retaining walls; methodologies; limitations; benefits; GPR; FDTD; antenna; time-zero; permittivity measurement; gprMax; NDT; concrete; CRIM model; shape factor; GPU; ground-penetrating radar (GPR); asphalt layer thickness; nondestructive testing (NDT); 3D modelling; spatial representation; airfield pavement; apron; reinforced concrete beam; steel reinforcing bar; ground penetrating radar; impact-echo method; metal magnetic memory method; ground-penetrating radar; road defect detection; YOLOv5 models; road defects image recognition; road maintenance benefit; road maintenance effectiveness; GPR; pavement; debonding; accelerated pavement testing (APT); database; ground penetrating radar (GPR); relative dielectric permittivity (RDP); railway ballast fouling; granite ballast; mechanized ballast cleaning; railway infrastructure; structural health monitoring; ground penetrating radar; attribute analysis; in situ material property; machine learning; maturity method; bridge monitoring; sonar; water-penetrating radar; river scour; air void content; asphalt pavement; compaction; density; ground penetrating radar (GPR); non-destructive testing (NDT); quality assurance/quality control (QA/QC); pavement density profiler (PDP)