An advanced GPR modelling framework: The next generation of gprMax

Warren, Craig, Giannopoulos, Antonios and Giannakis, Iraklis (2015) An advanced GPR modelling framework: The next generation of gprMax. In: IWAGPR 2015 - 8th International Workshop on Advanced Ground Penetrating Radar, 7th - 10th July 2015, Florence, Italy.

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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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Ground penetrating radar, Soil, Finite difference methods, omputational modeling, Dispersion, Antennas, Time-domain analysis
Subjects:	F800 Physical and Terrestrial Geographical and Environmental Sciences H200 Civil Engineering H600 Electronic and Electrical Engineering
Department:	Faculties > Engineering and Environment > Mechanical and Construction Engineering
Depositing User:	Craig Warren
Date Deposited:	13 Jul 2017 12:39
Last Modified:	12 Oct 2019 12:16
URI:	http://nrl.northumbria.ac.uk/id/eprint/31280

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