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Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra

Betcke, T; Haberl, A; Praetorius, D; (2019) Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra. Journal of Computational Physics , 397 , Article 108837. 10.1016/j.jcp.2019.07.036. Green open access

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Abstract

The accurate computation of the electrostatic capacity of three dimensional objects is a fascinating benchmark problem with a long and rich history. In particular, the capacity of the unit cube has widely been studied, and recent advances allow to compute its capacity to more than ten digits of accuracy. However, the accurate computation of the capacity for general three dimensional polyhedra is still an open problem. In this paper, we propose a new algorithm based on a combination of ZZ-type a posteriori error estimation and effective operator preconditioned boundary integral formulations to easily compute the capacity of complex three dimensional polyhedra to 5 digits and more. While this paper focuses on the capacity as a benchmark problem, it also discusses implementational issues of adaptive boundary element solvers, and we provide codes based on the boundary element package Bempp to make the underlying techniques accessible to a wide range of practical problems.

Type: Article
Title: Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.jcp.2019.07.036
Publisher version: https://doi.org/10.1016/j.jcp.2019.07.036
Language: English
Additional information: Electrostatic capacity, Boundary integral equations, Adaptivity, Operator preconditioning
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10079516
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