• DocumentCode
    3668233
  • Title

    An advanced GPR modelling framework: The next generation of gprMax

  • Author

    Craig Warren;Antonios Giannopoulos;Iraklis Giannakis

  • Author_Institution
    Institute for Infrastructure and Environment, School of Engineering, The University of Edinburgh, Edinburgh, Scotland, UK
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    gprMax is a freely-available set of electromagnetic wave simulation tools based on the Finite-Difference Time-Domain (FDTD) numerical method. gprMax was originally written in the mid-1990s and has primarily been used to simulate Ground Penetrating Radar (GPR). Current computing resources offer the opportunity to build detailed and complex FDTD models of GPR to an extent that was not previously possible. To enable these types of simulations to be more easily realised, and also to facilitate the addition of more advanced features, significant modernisations have been made to gprMax. The original C-based code has been completely rewritten using a combination of Python and Cython programming languages. Standard and robust file formats have been chosen for geometry and field output files. New advanced modelling features have been added including: an unsplit implementation of higher order perfectly matched layers (PMLs) using a recursive integration approach; uniaxially anisotropic materials; dispersive media using multiple Debye, Drude or Lorenz expressions; improved soil modelling using a semi-empirical formulation for dielectric properties and fractals for geometric characteristics; rough surface generation; and the ability to embed complex transducers and targets.
  • Keywords
    "Ground penetrating radar","Soil","Finite difference methods","Computational modeling","Dispersion","Antennas","Time-domain analysis"
  • Publisher
    ieee
  • Conference_Titel
    Advanced Ground Penetrating Radar (IWAGPR), 2015 8th International Workshop on
  • Type

    conf

  • DOI
    10.1109/IWAGPR.2015.7292621
  • Filename
    7292621