A GPR-Based Pavement Density Profiler: Operating Principles and Applications

Autor: Nectaria Diamanti, A. Peter Annan, Steven R. Jackson, Dylan Klazinga
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Remote Sensing, Vol 13, Iss 13, p 2613 (2021)
Druh dokumentu: article
ISSN: 2072-4292
DOI: 10.3390/rs13132613
Popis: Density is one of the most important parameters in the construction of asphalt mixtures and pavement engineering. When a mixture is properly designed and compacted, it will contain enough air voids to prevent plastic deformation but will have low enough air void content to prevent water ingress and moisture damage. By mapping asphalt pavement density, areas with air void content outside of the acceptable range can be identified to predict its future life and performance. We describe a new instrument, the pavement density profiler (PDP) that has evolved from many years of making measurements of asphalt pavement properties. This instrument measures the electromagnetic (EM) wave impedance to infer the asphalt pavement density (or air void content) locally and over profiles.
Databáze: Directory of Open Access Journals
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