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Spotlight on Pavement Density: New York State Department of Transportation - Working with the Dielectric Profiling System

File Language:
English


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  • Corporate Creators:
    United States. Department of Transportation. Federal Highway Administration
  • Subject/TRT Terms:
  • Publication/ Report Number:
    FHWA-HIF-24-064
  • Resource Type:
    Brief
  • Right Statement:
    Public Domain
  • Geographical Coverage:
    United States;New York
  • Corporate Publisher:
    United States. Department of Transportation. Federal Highway Administration
  • Abstract:
    Dielectric profiling systems (DPS) use ground penetrating radar to continuously assess asphalt compaction, generating a heat map of the entire pavement area. The New York State Department of Transportation (NYSDOT) first started using a three-antenna pushcart DPS in 2020. Since then, NYSDOT each year conducted several shadow projects across the State, facilitated by a special provision placed in contracts. "This technology has a lot of promise," says Brendan Rock, NYSDOT Materials Engineering Bureau. "Density profiling has potential to improve both the QC and QA operations for asphalt paving, so developing a program that makes use of that potential is a win-win." NYSDOT designates levels of service for its roadways, with different specifications and acceptance testing requirements depending on the series. The series differentiates projects based on factors including tonnage of asphalt, control of access to the roadway, and location. Acceptance of a 50 series asphalt paving project is generally based on four cores per day. A 60 series project acceptance is based on daily nuclear gauge measurements and cores taken every third day. NYSDOT sees the potential of DPS to reduce or eliminate coring for acceptance of pavement density. NYSDOT anticipates a new series of evaluation using DPS results as a primary metric of acceptance for density.
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:9ad10af094ea5ac6f8c1ec4d48e49c123909432253c5407620de1715664bc330c961770754842d8fe375e17073d3f32ac2ae396fa3ede4988613d5b17d1eb598
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  • File Type:
    Filetype[PDF - 391.13 KB ]
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