Efficient Dynamically Regularized Lagrange Multiplier Schemes with Energy Dissipation for Pitting Corrosion

In this paper, a series of efficient decoupled dynamically regularized Lagrange multiplier schemes with guaranteed energy dissipation are developed for phase-field modeling of pitting corrosion coupled with ionic concentration, and their energy-dissipation properties are rigorously analyzed. The proposed method requires only the solution of a few constant-coefficient elliptic equations and a single nonlinear algebraic equation per time step, resulting in a significantly reduced computational cost for the coupled system. The resulting system preserves the discrete energy decay unconditionally at each time step. An adaptive space-time finite element algorithm is employed to efficiently resolve the evolving corrosion front and steep concentration gradients. Combined with a decoupled iterative solver and a mass-lumped finite element method, the scheme achieves high computational efficiency and robustness. Numerical results confirm that the scheme not only reliably captures pit nucleation and evolution with substantially reduced computational cost but also exhibits strong overall applicability to real-world challenges.

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Publication Details

Journal
East Asian Journal on Applied Mathematics
Published
2026-11-10
DOI
https://doi.org/10.4208/eajam.2026-101.290626
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
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article

Efficient Dynamically Regularized Lagrange Multiplier Schemes with Energy Dissipation for Pitting Corrosion

Futuan Li, Hongwei Li
East Asian Journal on Applied Mathematics
Advanced Numerical Methods in Computational Mathematics
article

Efficient Dynamically Regularized Lagrange Multiplier Schemes with Energy Dissipation for Pitting Corrosion

Futuan Li, Hongwei Li
article en

Abstract

In this paper, a series of efficient decoupled dynamically regularized Lagrange multiplier schemes with guaranteed energy dissipation are developed for phase-field modeling of pitting corrosion coupled with ionic concentration, and their energy-dissipation properties are rigorously analyzed. The proposed method requires only the solution of a few constant-coefficient elliptic equations and a single nonlinear algebraic equation per time step, resulting in a significantly reduced computational cost for the coupled system. The resulting system preserves the discrete energy decay unconditionally at each time step. An adaptive space-time finite element algorithm is employed to efficiently resolve the evolving corrosion front and steep concentration gradients. Combined with a decoupled iterative solver and a mass-lumped finite element method, the scheme achieves high computational efficiency and robustness. Numerical results confirm that the scheme not only reliably captures pit nucleation and evolution with substantially reduced computational cost but also exhibits strong overall applicability to real-world challenges.

East Asian Journal on Applied MathematicsVol. 17(3)
Beijing Normal-Hong Kong Baptist University (CN), Shandong Normal University (CN), Nanfang College Guangzhou (CN)
Advanced Numerical Methods in Computational Mathematics
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