• DocumentCode
    2541174
  • Title

    Field validation of the Intelligent Asphalt Compaction Analyzer

  • Author

    Commuri, Sesh ; Mai, Anh

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK, USA
  • fYear
    2009
  • fDate
    24-26 June 2009
  • Firstpage
    651
  • Lastpage
    656
  • 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 validation of the performance of the IACA, i.e. accuracy of density measurements, is 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.
  • Keywords
    asphalt; neural nets; quality control; road building; asphalt pavement; construction; intelligent asphalt compaction analyzer; neural network; quality control; Accelerometers; Asphalt; Automatic control; Compaction; Couplings; Density measurement; Frequency; Machine intelligence; Position measurement; Vibration measurement; Construction Technology; Hot Mix Asphalt; Intelligent Compaction; Vibratory Roller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2009. MED '09. 17th Mediterranean Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    978-1-4244-4684-1
  • Electronic_ISBN
    978-1-4244-4685-8
  • Type

    conf

  • DOI
    10.1109/MED.2009.5164617
  • Filename
    5164617