paper 150203060429

Published: 2015-07-09

Fast Model Order Reduction Approach to Uncertainty Quantification in Electrokinetics

Luca Di Rienzo,

Luca Di Rienzo

Politecnico di Milano, Italy

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Lorenzo Codecasa

Politecnico di Milano, Italy

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Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)369-373

Abstract

A novel approach based on Model Order Reduction and Polynomial Chaos Expan- sion is proposed for uncertainty quantification in electrokinetics due to randomness in material parameters. Such approach is validated by considering a simplified geometry of a typical system for resistance welding. In this situation the Model Order Reduction approach allows to reduce the computational time by about two orders of magnitude with respect to the most efficient approaches based on sparse-grids.

Citation

Luca Di Rienzo, and Lorenzo Codecasa, "Fast Model Order Reduction Approach to Uncertainty Quantification in Electrokinetics," Proceedings of 2015 Photonics & Electromagnetics Research Symposium, Prague, July 6 - 9，Page(s)369-373

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