3 papers
cs.CE2025
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…
cs.CE2024
Mortar Thin Shell Approximation for Analysis of Superconducting Accelerator Magnets
Robert Hahn, Erik Schnaubelt, Mariusz Wozniak +2
Thin layers can lead to unfavorable meshes in a finite element (FE) analysis. Thin shell approximations (TSAs) avoid this issue by removing the need for a mesh of the thin layer wh…
cs.CE2023
Gradient-Based Eigenvalue Optimization for Electromagnetic Cavities with Built-in Mode Matching
Anna Ziegler, Robert Hahn, Victoria Isensee +2
Shape optimization with respect to eigenvalues of a cavity plays an important role in the design of new resonators or in the optimization of existing ones. In our paper, we propose…