Algorithm development for the application of ground-penetrating radar on asphalt pavement compaction monitoring

Pengcheng Shangguan, Imad Al-Qadi, Aaron Coenen, Shan Zhao

Research output: Contribution to journalArticle

Abstract

Ground-penetrating radar (GPR) is a promising non-destructive technique to be applied on monitoring the density change during asphalt pavement compaction. The utmost challenge of this application is the unknown effect of surface moisture, sprayed by the compactor during compaction, on GPR signals. To extract density information without the effect of surface moisture, a correction algorithm based on reference scan approach was developed. To evaluate the performance of the algorithm, a full-scale test site was constructed with compaction pass number from 0 to 10, and a large amount of GPR data were collected from the pavement with different surface moisture contents. A total of 22 cores were extracted for validation purposes. After applying the algorithm, it was found that the average density prediction error was reduced significantly. By using correction algorithm together with the density model, the density of asphalt pavement was obtained with high accuracy.

Original languageEnglish (US)
Pages (from-to)189-200
Number of pages12
JournalInternational Journal of Pavement Engineering
Volume17
Issue number3
DOIs
StatePublished - Mar 15 2016

Keywords

  • GPR
  • asphalt pavement compaction
  • compaction monitoring
  • ground-penetrating radar
  • moisture effect
  • nondestructive testing

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials

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