Quantification of uncertainties in low frequency computational electromagnetics: from theory to applications: from theory to applications

Prof. Stéphane Clénet, L2EP, Arts et Métiers ParisTech, Lille

27 Jan 2014, 16:15–17:45; Location: S2|17-103

In electrical engineering, the input data (dimensions, material properties, external inputs, etc.) of models are often assumed to be known exactly. The models as well as their outputs are then deterministic. However, in the real world, the input data are often stochastic. The dimensions of any device are known within a given uncertainty (tolerance) due to imperfections in the manufacturing process (machining. casting, punching, etc.). The characteristics of materials are also time-dependent due to ageing. To account for the variability of the input parameters, the stochastic approach can be used, the inputs as well as the outputs of the model are then random variables or fields. In the seminar, we present methods to solve stochastic finite element problems in electromagnetism. The stochastic approach will be illustrated by some examples in the domains of electrical machines and eddy current non-destructive testing.

Category: CE Seminar


Technische Universität Darmstadt

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