• Title of article

    Truncated multiGaussian fields and effective conductance of binary media

  • Author/Authors

    Sean A. McKennaa، نويسنده , , Jaideep Rayb، نويسنده , , Youssef Marzoukc، نويسنده , , Bart van Bloemen Waandersd، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    10
  • From page
    617
  • To page
    626
  • Abstract
    Truncated Gaussian fields provide a flexible model for defining binary media with dispersed (as opposed to layered) inclusions. General properties of excursion sets on these truncated fields are coupled with a distance-based upscaling algorithm and approximations of point process theory to develop an estimation approach for effective conductivity in two-dimensions. Estimation of effective conductivity is derived directly from knowledge of the kernel size used to create the multiGaussian field, defined as the full-width at half maximum (FWHM), the truncation threshold and conductance values of the two modes. Therefore, instantiation of the multiGaussian field is not necessary for estimation of the effective conductance. The critical component of the effective medium approximation developed here is the mean distance between high conductivity inclusions. This mean distance is characterized as a function of the FWHM, the truncation threshold and the ratio of the two modal conductivities. Sensitivity of the resulting effective conductivity to this mean distance is examined for two levels of contrast in the modal conductances and different FWHM sizes. Results demonstrate that the FWHM is a robust measure of mean travel distance in the background medium. The resulting effective conductivities are accurate when compared to numerical results and results obtained from effective media theory, distance-based upscaling and numerical simulation.
  • Keywords
    upscaling , Effective conductivity , Binary media
  • Journal title
    Advances in Water Resources
  • Serial Year
    2011
  • Journal title
    Advances in Water Resources
  • Record number

    1272388