A combined sorting and regression program (SORTRE) for analyzing moisture content in roads is developed. The program analyzes the moisture content as a function of climatic parameters, material parameters, distance to the ground water table etc. The data are sorted into groups for different types of pavements, geometrics etc. Regression analysis is then carried out and the result is given as a linear equation where the dependent variable is a function of the significant independent variables such as dry density and distance to the ground water table. Data types considered in the program are: data from road structures, and geotechnical data. The equation is presented by which the multiple regression analysis obtains the best fit of a set of observations of independent and dependent variables. An example is given which illustrates the benefits of using multiple regression analysis. The computer program for moisture content in road structures is detailed. The average value and the deviation from the mean of the moisture content in percent by weight is calculated and tabulated for different layers of the pavement structure of a test road. The detailed results of a multiple regression analysis are reproduced and discussed. The groups and variables are set forth in the multiple regression analysis in the geotechnical version.

  • Supplemental Notes:
    • Symposium on Frost Action on Roads, Paris (1973).
  • Corporate Authors:

    Organisation for Economic Co-operation and Development (OECD)

    2, rue André Pascal
    Paris,   France  75775 Paris Cedex 16
  • Authors:
    • Angen, E
  • Conference:
  • Publication Date: 1973-10

Media Info

  • Features: Tables;
  • Pagination: p. 117-131
  • Serial:
    • Volume: 1

Subject/Index Terms

Filing Info

  • Accession Number: 00260025
  • Record Type: Publication
  • Source Agency: Transport and Road Research Laboratory (TRRL)
  • Report/Paper Numbers: Conf Paper
  • Files: ITRD, TRIS
  • Created Date: Sep 30 1975 12:00AM