DocumentCode :
1512735
Title :
Computational method in electrostatics based on Monte Carlo energy minimisation
Author :
Sancho, M. ; Sebastián, J.L. ; Muñoz, S. ; Miranda, J.M.
Author_Institution :
Dept. de Fisica Aplicada III, Univ. Complutense de Madrid, Spain
Volume :
148
Issue :
3
fYear :
2001
fDate :
5/1/2001 12:00:00 AM
Firstpage :
121
Lastpage :
124
Abstract :
A variational method is presented which uses the Monte Carlo technique to simulate the evolution of a distribution of discrete charges within a conductor towards an equilibrium configuration that is characterised by a minimum of electrostatic energy. Using this approach, the calculation of the capacitance of conductors of complex geometry is presented as a simple problem, as the proposed technique avoids the complex pre-calculations needed in other well known classical methods. The technique is also used to calculate other parameters of interest, such as the conductor polarisabilities and the calculation of the potential and field distributions from a discrete configuration of charge. The proposed method can be used to help students to develop a physical picture of how the charge distribution on a conductor surface is established. It represents a complement to the traditional numerical techniques in electrostatics for an approximate evaluation of fields and electrical parameters in problems that involve complex conducting shapes
Keywords :
Monte Carlo methods; conductors (electric); electric charge; electrical engineering computing; electrostatics; minimisation; physics computing; variational techniques; Monte Carlo energy minimisation; complex conducting shapes; complex geometry; computational method; conductor polarisabilities; conductor surface; discrete charges; discrete configuration; electrostatics; equilibrium configuration; field distributions; numerical techniques; potential distributions;
fLanguage :
English
Journal_Title :
Science, Measurement and Technology, IEE Proceedings -
Publisher :
iet
ISSN :
1350-2344
Type :
jour
DOI :
10.1049/ip-smt:20010449
Filename :
935778
Link To Document :
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