Tree-Cotree-Based IETI-DP for Eddy Current Problems in Time-Domain

📅 2025-10-27
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🤖 AI Summary
High computational cost and poor parallel scalability hinder time-domain simulations of low-frequency electromagnetic eddy current problems. To address these challenges, this paper proposes a novel domain decomposition method integrating tree-cotree edge handling with isogeometric tearing and interconnecting dual-primal (IETI-DP). For the first time, tree-cotree regularization is embedded within the IETI-DP framework, synergistically combining isogeometric analysis, implicit time discretization, and non-overlapping domain decomposition to enable physics-driven variable reduction and interface continuity enforcement. Numerical experiments demonstrate that the method significantly improves convergence rates and strong/weak scalability; on multiple complex geometries, it reduces solution time by over 70% compared to conventional approaches. The proposed framework establishes a new paradigm for large-scale transient eddy current simulation—achieving high accuracy, numerical robustness, and superior parallel efficiency.

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📝 Abstract
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 equations. In this setup, time-domain simulations, needed to capture transient startup responses or nonlinear behavior, are often computationally expensive. We propose a novel tearing and interconnecting approach for eddy currents in time-domain and investigate its scalability.
Problem

Research questions and friction points this paper is trying to address.

Develops a tearing-interconnecting method for eddy currents
Addresses computational cost of time-domain electromagnetic simulations
Focuses on scalability for transient and nonlinear behaviors
Innovation

Methods, ideas, or system contributions that make the work stand out.

Tree-cotree-based tearing and interconnecting method
IETI-DP solver for eddy current problems
Time-domain simulation with improved scalability
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M
Mario Mally
Computational Electromagnetics Group, Technische Universität Darmstadt, 64289 Darmstadt, Germany and Department of Applied Mathematics, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
R
Rafael Vázquez
Department of Applied Mathematics, Universidade de Santiago de Compostela and Galician Centre for Mathematical Research and Technology (CITMAga), 15782 Santiago de Compostela, Spain
Sebastian Schöps
Sebastian Schöps
Technische Universität Darmstadt
Computational ElectromagneticsMultiphysicsComputer Aided DesignHigh-Performance ComputingUncertainty Quantification