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Development of field performance evaluation tools and program for pavement marking materials : technical report

File Language:
English


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  • Edition:
    Technical Report: September 2007¿August 2010
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  • Abstract:
    Historically the prequalification or selection of pavement marking materials (PMMs) is mainly based on

    product specifications and lab testing, which do not correlate well with the field performance of the products.

    On the other hand, there is no consensus on recommended procedure to design test deck and conduct field

    performance test. The objective of this project is to investigate field evaluation plans and procedures and

    develop field performance-based evaluation procedures for PMMs. Field decks are designed incorporating

    regular long lines, long line in the travel lane, and transverse lines for accelerated testing, while also

    considering different installation procedures. Three different test field deck sites are selected across the state

    considering area climate, roadway surface type, and traffic condition. Carefully selected PMM products are

    installed and monitored for their field performance over time. The relationships between transverse and

    longitudinal test decks are evaluated with correlation analysis. Analysis results indicate that the points on

    transverse lines have high correlation with the corresponding five or seven longitudinal long lines in the

    travel lane when retroreflectivity values of all products on a test deck are averaged. For individual products,

    the correlations between transverse line locations and corresponding long lines in the travel lane exist, albeit

    at a lower level. A tracking database is developed and can record and interactively query all relevant data, track

    individual jobs and products, and graphically display performance changes over time.

  • Format:
    PDF
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  • Main Document Checksum:
    urn:sha-512:3ea5ca6da0179d0de9cf8e6cf33ca0c095d377bdd03c35b2ab6feecfa29e296e12b46f675ae049e459d7d0a99c911059ea35700a44f0548e2357b3e12903e5e6
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  • File Type:
    Filetype[PDF - 3.94 MB ]
File Language:
English
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