Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arnoldi-Based Krylov Methods
Communication avec acte
Auteur
PIERQUIN, AntoineHENNERON, ThomasBRISSET, Stéphane 
CLENET, StephaneRésumé
The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example in terms of computation time and precision.
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Article dans une revue avec comité de lecture; ; ;CLENET, Stephane (Wydawnictwo Czasopism i Ksia̜żek Technicznych Sigma, 2015)
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Article dans une revue avec comité de lecture; ; ;CLENET, Stephane (Institute of Electrical and Electronics Engineers, 2014)
We present an optimization problem that requires to model a multirate system, composed of subsystems with different time constants. We use waveform relaxation method in order to simulate such a system. But computation time ...
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Article dans une revue avec comité de lecture; ; ;CLENET, Stephane (Institute of Electrical and Electronics Engineers, 2016)
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Article dans une revue avec comité de lecture; ;CLENET, Stephane (Institute of Electrical and Electronics Engineers, 2018)
Among the model order reduction techniques, the Proper Orthogonal Decomposition (POD) has shown its efficiency to solve magnetostatic and magneto-quasistatic problems in the time domain. However, the POD is intrusive in ...
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Article dans une revue avec comité de lecture; ;CLENET, Stephane (Institute of Electrical and Electronics Engineers, 2020)
The Proper Orthogonal Decomposition (POD) is an interesting approach to compress into a reduced basis numerous solutions obtained from a parametrized Finite Element (FE) model. In order to obtain a fast approximation of a ...