activity
20172019
most citedMultilevel Monte Carlo Simulation of the Eddy Current Problem With Random Parameters

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CE2019

Robust Optimization of a Permanent Magnet Synchronous Machine Considering Uncertain Driving Cycles

L. A. M. D'Angelo, Z. Bontinck, S. Schöps +1

This work focuses on the robust optimization of a permanent magnet (PM) synchronous machine while considering a driving cycle. The robustification is obtained by considering uncert…

math.OC2018

Robust Shape Optimization of Electric Devices Based on Deterministic Optimization Methods and Finite Element Analysis With Affine Decomposition and Design Elements

Ion Gabriel Ion, Zeger Bontinck, Dimitrios Loukrezis +5

In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine de…

cs.CE2018

A multilevel Monte Carlo method for high-dimensional uncertainty quantification of low-frequency electromagnetic devices

Armin Galetzka, Zeger Bontinck, Ulrich Römer +1

This work addresses uncertainty quantification of electromagnetic devices determined by the eddy current problem. The multilevel Monte Carlo (MLMC) method is used for the treatment…

cs.CE2017

Modelling of a Permanent Magnet Synchronous Machine Using Isogeometric Analysis

Zeger Bontinck, Jacopo Corno, Prithvi Bhat +2

Isogeometric analysis (IGA) is used to simulate a permanent magnet synchronous machine. IGA uses non-uniform rational B-splines to parametrise the domain and to approximate the sol…

cs.CE20171 cited

Multilevel Monte Carlo Simulation of the Eddy Current Problem With Random Parameters

Armin Galetzka, Zeger Bontinck, Ulrich Römer +1

The multilevel Monte Carlo method is applied to an academic example in the field of electromagnetism. The method exhibits a reduced variance by assigning the samples to multiple mo…