3 citations · 5 across the 8 of their papers we have counts for
8 papers
On a Hybrid Mixed Domain Decomposition Method
Kersten Schmidt, Timon Seibel, Sebastian Schöps
We present a domain decomposition formulation based on hybridization which is inspired by hybridized discontinuous Galerkin (HDG) methods, that enhance mixed domain decomposition m…
A topological decoupling of modified nodal analysis including controlled sources
Idoia Cortes Garcia, Peter F. Förster, Lennart Jansen +2
We derive a topological decoupling of the equations of modified nodal analysis (MNA) to a semi-explicit index one differential-algebraic equation. The decoupling explicitly allows…
Tree-Cotree-Based IETI-DP for Eddy Current Problems in Time-Domain
Mario Mally, Rafael Vázquez, Sebastian Schöps
For low-frequency electromagnetic problems, where wave-propagation effects can be neglected, eddy current formulations are commonly used as a simplification of the full Maxwell's e…
Multi-Level Monte Carlo sampling with Parallel-in-Time Integration for Uncertainty Quantification in Electric Machine Simulation
Robert Hahn, Sebastian Schöps
While generally considered computationally expensive, Uncertainty Quantification using Monte Carlo sampling remains beneficial for applications with uncertainties of high dimension…
A stabilized Two-Step Formulation of Maxwell's Equations in the time-domain
Leon Herles, Mario Mally, Jörg Ostrowski +2
Simulating electromagnetic fields across broad frequency ranges is challenging due to numerical instabilities at low frequencies. This work extends a stabilized two-step formulatio…
On Techniques for Barely Coupled Multiphysics
Rainald Löhner, Harbir Antil, Sebastian Schöps
A technique to combine codes to solve barely coupled multiphysics problems has been developed. Each field is advanced separately until a stop is triggered. This could be due to a p…
CREATOR Case: PMSM and IM Electric Machine Data for Validation and Benchmarking of Simulation and Modeling Approaches
Annette Mütze, Kourosh Heidarikani, Pawan Kumar Dhakal +2
This paper describes the complete sets of data of two different machines, a PMSM and an IM, that are made available to the public for modeling and simulation validation and benchma…
Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design
Aylar Partovizadeh, Sebastian Schöps, Dimitrios Loukrezis
This work proposes a data-driven surrogate modeling framework for cost-effectively inferring the torque of a permanent magnet synchronous machine under geometric design variations.…