An approach based on Model Order Reduction and Polynomial Chaos Expansion is proposed for uncertainty quantification in eddy current problems due to randomness in material parameters. Corresponding deterministic problems are solved with the Finite Integration Technique. As a test case, the method is applied to a simplified geometry of a typical system for resistance welding in ac conditions.

Model order reduction approach to uncertainty quantification in eddy current problems

CODECASA, LORENZO;DI RIENZO, LUCA
2017-01-01

Abstract

An approach based on Model Order Reduction and Polynomial Chaos Expansion is proposed for uncertainty quantification in eddy current problems due to randomness in material parameters. Corresponding deterministic problems are solved with the Finite Integration Technique. As a test case, the method is applied to a simplified geometry of a typical system for resistance welding in ac conditions.
2017
2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017
9780996007832
Finite integration technique; Model order reduction; Uncertainty quantification; Radiation; Signal Processing; Computational Mathematics; Instrumentation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1027672
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