• 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