Improved Numerical Robustness of the X‐FFT Solver via Internal Scaling

ABSTRACT The recently introduced X‐FFT solver improves the spatial accuracy of FFT‐based homogenization methods for two‐dimensional thermal homogenization problems without compromising their numerical efficiency. Through the use of an X‐FEM discretization, optimal error convergence rates of the discretization error are achieved, and the developed X‐FFT preconditioner guarantees a mesh‐independent upper bound on the condition number. In the work at hand, we introduce an internal scaling of the enriched shape functions that prevents numerical instabilities and simplifies the X‐FFT preconditioner. Our numerical studies demonstrate that the accuracy and the efficiency of the X‐FFT solver remain unaffected by the internal scaling.

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Publication Details

Journal
PAMM
Published
2025-12-01
DOI
https://doi.org/10.1002/pamm.70042
Primary Topic
Advanced Mathematical Modeling in Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Improved Numerical Robustness of the X‐FFT Solver via Internal Scaling

Flavia Gehrig, Matti Schneider
PAMM
Advanced Mathematical Modeling in Engineering
article

Improved Numerical Robustness of the X‐FFT Solver via Internal Scaling

Flavia Gehrig, Matti Schneider
article en

Abstract

ABSTRACT The recently introduced X‐FFT solver improves the spatial accuracy of FFT‐based homogenization methods for two‐dimensional thermal homogenization problems without compromising their numerical efficiency. Through the use of an X‐FEM discretization, optimal error convergence rates of the discretization error are achieved, and the developed X‐FFT preconditioner guarantees a mesh‐independent upper bound on the condition number. In the work at hand, we introduce an internal scaling of the enriched shape functions that prevents numerical instabilities and simplifies the X‐FFT preconditioner. Our numerical studies demonstrate that the accuracy and the efficiency of the X‐FFT solver remain unaffected by the internal scaling.

PAMMVol. 25(4)
Fraunhofer Institute for Industrial Mathematics (DE), University of Duisburg-Essen (DE)
HORIZON EUROPE Framework Programme
Openalex Percentile: Top 27%
Advanced Mathematical Modeling in Engineering
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