An Advanced GPR Modelling Framework: The Next Generation of gprMax

Craig Warren, Antonios Giannopoulos, Iraklis Giannakis

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

57 Citations (Scopus)
67 Downloads (Pure)

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.
Original languageEnglish
Title of host publication2015 8th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
PublisherIEEE Press
DOIs
Publication statusPublished - 2015
Event8th International Workshop on Advanced Ground Penetrating Radar (IWAGPR) - Florence, Italy
Duration: 7 Jul 201510 Jul 2015

Conference

Conference8th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)
Country/TerritoryItaly
CityFlorence
Period7/07/1510/07/15

Bibliographical note

ACKNOWLEDGMENT
The authors would like to acknowledge financial support for this work from The Defence Science and Technology Laboratory (Dstl), UK.

This work has made use of the resources provided by the Edinburgh Compute and Data Facility (ECDF) (http://www.ecdf.ed.ac.uk/).

This work benefited from networking activities carried out within the EU funded COST Action TU1208 “Civil Engineering Applications of Ground Penetrating Radar.

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