Calibration Procedures for the Intelligent Asphalt Compaction Analyzer

    Volume 37, Issue 5 (September 2009)

    ISSN: 0090-3973

    CODEN: JTEOAD

    Published Online: 18 June 2009

    Page Count: 9


    Commuri, Sesh
    School of Electrical and Computer Engineering, Stephenson Research and Technology Center, 101 David L. Boren Blvd., Univ. of Oklahoma, Norman, OK

    Mai, Anh
    School of Electrical and Computer Engineering, Stephenson Research and Technology Center, 101 David L. Boren Blvd., Univ. of Oklahoma, Norman, OK

    Zaman, Musharraf
    Associate Dean for Research, College of Engineering, 202 W. Boyd Street, Room 107, Univ. of Oklahoma, Norman, OK

    (Received 24 January 2009; accepted 1 May 2009)

    Abstract

    The intelligent asphalt compaction analyzer (IACA) is a device based on neural network technology that can measure the density of an asphalt pavement continuously in real time during its construction. It was shown during limited field trials that the IACA could, in real time, measure the density of an asphalt pavement during its construction with accuracy comparable to existing point-wise measurement technologies. In this paper, the procedure to calibrate the IACA and the validation of the performance, i.e., accuracy of density measurements, are addressed. The results demonstrate that the IACA can be used to determine the density of the asphalt mat during compaction with an accuracy needed for quality control operations in the field.


    Paper ID: JTE003110

    DOI: 10.1520/JTE003110

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    Title Calibration Procedures for the Intelligent Asphalt Compaction Analyzer
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