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Comparison of two approaches to compute magnetic field in problems with random domains

Article dans une revue avec comité de lecture
Auteur
MAC, Duy Hung
ccCLENET, Stephane
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
MIPO, Jean-Claude

URI
http://hdl.handle.net/10985/7276
DOI
10.1049/iet-smt.2011.0123
Date
2012
Journal
IET Science Measurement and Technology

Résumé

Methods are now available to solve numerically electromagnetic problems with uncertain input data (behaviour law or geometry). The stochastic approach consists in modelling uncertain data using random variables. Discontinuities on the magnetic field distribution in the stochastic dimension can arise in a problem with uncertainties on the geometry. The basis functions (polynomial chaos) usually used to approximate the unknown fields in the random dimensions are no longer suited. One possibility proposed in the literature is to introduce additional functions (enrichment function) to tackle the problem of discontinuity. In this study, the authors focus on the method of random mappings and they show that in this case the discontinuity are naturally taken into account and that no enrichment function needs to be added.

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L2EP_ IET-CEM_2011_CLENET.pdf
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Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Laboratoire d'Electrotechnique et d'Electronique de Puissance (L2EP) de Lille

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Transformation Methods for Static Field Problems With Random Domains 
    Article dans une revue avec comité de lecture
    MAC, Duy Hung; ccCLENET, Stephane; MIPO, Jean-Claude (Institute of Electrical and Electronics Engineers, 2011)
    The numerical solution of partial differential equations onto random domains can be done by using a mapping transforming this random domain into a deterministic domain. The issue is then to determine this one to one random ...
  • Solution of Static Field Problems With Random Domains 
    Article dans une revue avec comité de lecture
    MAC, Duy Hung; MIPO, Jean-Claude; MOREAU, Olivier; ccCLENET, Stephane (Institute of Electrical and Electronics Engineers, 2010)
    A method to solve stochastic partial differential equations on random domains consists in using a one-to-one random mapping function which transforms the random domain into a deterministic domain. With this method, the ...
  • A priori error indicator in the transformation method for problems with geometric uncertainties 
    Article dans une revue avec comité de lecture
    MAC, Duy Hung; MIPO, Jean-Claude; TSUKERMAN, Igor; ccCLENET, Stephane (Institute of Electrical and Electronics Engineers, 2013)
    To solve stochastic problems with geometric uncertainties, one can transform the original problem in a domain with stochastic boundaries and interfaces to a problem defined in a deterministic domain with uncertainties in ...
  • Study of the Influence of the Fabrication Process Imperfections on the Performances of a Claw Pole Synchronous Machine Using a Stochastic Approach 
    Article dans une revue avec comité de lecture
    LIU, Sijun; MAC, Hung; MIPO, Jean-Claude; ccCOOREVITS, Thierry; ccCLENET, Stephane (Institute of Electrical and Electronics Engineers, 2015)
    In mass production, fabrication processes of electrical machines are not perfectly repeatable with time, leading to dispersions on the dimensions which are not equal to their nominal values. The issue is then to link the ...
  • Residual-based a posteriori error estimation for stochastic magnetostatic problems 
    Article dans une revue avec comité de lecture
    MAC, Duy Hung; TANG, Z.; CREUSE, E.; ccCLENET, Stephane (Elsevier, 2015)
    In this paper, we propose an a posteriori error estimator for the numerical approximation of a stochastic magnetostatic problem, whose solution depends on the spatial variable but also on a stochastic one. The spatial ...

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