4.7 Article

A space-time adaptive finite element method with exponential time integrator for the phase field model of pitting corrosion

Journal

JOURNAL OF COMPUTATIONAL PHYSICS
Volume 406, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jcp.2019.109191

Keywords

Pitting corrosion; Phase field model; Finite element method; Adaptivity; Exponential integrator; Semi-implicit scheme

Funding

  1. National Natural Science Foundation of China [11801024, 11871234]
  2. Hubei Key Laboratory of Engineering Modeling and Scientific Computing
  3. US National Science Foundation [DMS-1818438]
  4. US Department of Energy [DE-SC0016540, DE-SC0020270]
  5. U.S. Department of Energy (DOE) [DE-SC0020270] Funding Source: U.S. Department of Energy (DOE)

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In this paper we propose a space-time adaptive finite element method for the phase field model of pitting corrosion, which is a parabolic partial differential equation system consisting of a phase variable and a concentration variable. A major challenge in solving this phase field model is that the problem is very stiff, which makes the time step size extremely small for standard temporal discretizations. Another difficulty is that a high spatial resolution is required to capture the steep gradients within the diffused interface, which results in very large number of degrees of freedom for uniform meshes. To overcome the stiffness of this model, we combine the Rosenbrock-Euler exponential integrator with Crank-Nicolson scheme for the temporal discretization. Moreover, by exploiting the fact that the speed of the corroding interface decreases with time, we derive an adaptive time stepping formula. For the spatial approximation, we propose a simple and efficient strategy to generate adaptive meshes that reduces the computational cost significantly. Thus, the proposed method utilizes local adaptivity and mesh refinement for efficient simulation of the corrosive dissolution over long times in heterogeneous media with complex microstructures. We also present an extensive set of numerical experiments in both two and three dimensional spaces to demonstrate efficiency and robustness of the proposed method. (C) 2019 Elsevier Inc. All rights reserved.

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