Reducing the Threat to Public Safety: Improved metallic object characterisation, location and detection
Lead Research Organisation:
UNIVERSITY COLLEGE LONDON
Department Name: Mathematics
Abstract
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Organisations
People |
ORCID iD |
| Timo Betcke (Principal Investigator) |
Publications
Amad A
(2022)
Benchmark computations for the polarization tensor characterization of small conducting objects
in Applied Mathematical Modelling
Betcke T
(2019)
Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra
in Journal of Computational Physics
| Description | In partnership with TU Vienna we have developed adaptive solvers for 3 dimensional electrostatic problems. Adaptive solvers provide an automatic way to obtain high accuracy solutions to electrostatic problems and form an important algorithmic ingredient to generate the classification data for electromagnetic objects in this grant. |
| Exploitation Route | We have received funding from EPSRC for the development of Exascale ready boundary element software. Electromagnetic and FEM/BEM coupled problems are a particular focus here. This will allow us to develop novel simulation software that will make it possible to implement more complex polarization tensor computations. |
| Sectors | Aerospace Defence and Marine |