TY - JOUR
T1 - A Space-Time Adaptive Finite Element Method with Exponential Time Integrator for the Phase Field Model of Pitting Corrosion
AU - Gao, Huadong
AU - Ju, Lili
AU - Li, Xiao
AU - Duddu, Ravindra
N1 - Funding Information:
H. Gao's research is partially supported by National Natural Science Foundation of China under grant number 11871234 and Hubei Key Laboratory of Engineering Modeling and Scientific Computing . L. Ju's research is partially supported by US National Science Foundation under grant number DMS-1818438 and US Department of Energy under grant numbers DE-SC0016540 and DE-SC0020270 . X. Li's research is partially supported by National Natural Science Foundation of China under grant number 11801024 .
Funding Information:
H. Gao's research is partially supported by National Natural Science Foundation of China under grant number 11871234 and Hubei Key Laboratory of Engineering Modeling and Scientific Computing. L. Ju's research is partially supported by US National Science Foundation under grant number DMS-1818438 and US Department of Energy under grant numbers DE-SC0016540 and DE-SC0020270. X. Li's research is partially supported by National Natural Science Foundation of China under grant number 11801024.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - 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.
AB - 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.
KW - Adaptivity
KW - Exponential integrator
KW - Finite element method
KW - Phase field model
KW - Pitting corrosion
KW - Semi-implicit scheme
UR - http://www.scopus.com/inward/record.url?scp=85078619705&partnerID=8YFLogxK
U2 - 10.1016/j.jcp.2019.109191
DO - 10.1016/j.jcp.2019.109191
M3 - Journal article
AN - SCOPUS:85078619705
SN - 0021-9991
VL - 406
JO - Journal of Computational Physics
JF - Journal of Computational Physics
M1 - 109191
ER -