Road surface and pavement condition assessment by high frequency GPR diffraction

S. R. Pennock, C. H J Jenks

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

8 Citations (SciVal)

Abstract

The condition of roads and pavements near their surfaces is of interest to asset management, in particular of the roads and pavement assets, but also of assets buried under the roads or pavements such as cables or pipes. In many cases the decay of the near surface material results in small air or water filled regions within the tarmac/concrete/stone structure. The decay causes little change in the electromagnetic reflection or delay characteristics of these regions as measured by traditional GPR equipment. Signals launched along the surface are diffracted out of the surface by fractures and discontinuities within the surface. The change between a uniform and a fractured surface is seen to be more readily apparent in the direction normal to the surface, particularly at higher frequencies above about 3 GHz for fractures and for voids of the order of about 2 mm and above. Finite Difference Time Domain simulations and initial microwave frequency measurements indicate significant changes in diffracted signals levels are observed over sufficiently fractured regions.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014
PublisherIEEE
Pages881-886
Number of pages6
ISBN (Print)9781479967896
DOIs
Publication statusPublished - 2014
Event15th International Conference on Ground Penetrating Radar, GPR 2014 - Brussels, Belgium
Duration: 30 Jun 20144 Jul 2014

Conference

Conference15th International Conference on Ground Penetrating Radar, GPR 2014
Country/TerritoryBelgium
CityBrussels
Period30/06/144/07/14

Keywords

  • Condition Assessment
  • FDTD
  • GPR

Fingerprint

Dive into the research topics of 'Road surface and pavement condition assessment by high frequency GPR diffraction'. Together they form a unique fingerprint.

Cite this