• DocumentCode
    484451
  • Title

    Optimization of Ground Penetrating Radar (GPR) Mixture Model in Road Pavement Density Data Analysis

  • Author

    Shafri, Helmi Zulhaidi Mohd ; Abdullah, RSA Raja ; Roslee, Mardeni ; Muniandy, Ratnasamy

  • Author_Institution
    Dept. of Civil Eng. & Fac. of Eng., Univ. Putra Malaysia, Serdang
  • Volume
    3
  • fYear
    2008
  • fDate
    7-11 July 2008
  • Abstract
    This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and density for various road pavements densities. The proposed method is simple, fast, nondestructive and accurate way to determine the density of road pavement. Density is a one of the important parameter in order to determine the compressive strength of road pavement. In laboratory, a few of received signal strength and measured attenuation for nine road pavement slab samples were taken at four different frequencies. The GPR mixture model has been used to produce the predicted attenuation due to the pavement density. The calculation and selection of mixture model has been discussed thoroughly and only the best performance of GPR mixture model was selected for optimization.
  • Keywords
    compressive strength; ground penetrating radar; optimisation; roads; GPR mixture model; attenuation; compressive strength; data analysis; ground penetrating radar; optimization; road pavement density; Attenuation measurement; Data analysis; Density measurement; Electromagnetic measurements; Frequency measurement; Ground penetrating radar; Permittivity; Power measurement; Road safety; Space technology; Attenuation; Density; Electromagnetic; Ground penetrating radar; Road Pavement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-2807-6
  • Electronic_ISBN
    978-1-4244-2808-3
  • Type

    conf

  • DOI
    10.1109/IGARSS.2008.4779604
  • Filename
    4779604