Abstract
We Propose Two Unconditionally Stable, Linear Ensemble Algorithms with Pre-Computable Shared Coefficient Matrices Across Different Realizations for the Magnetohydrodynamics Equations. the Viscous Terms Are Treated by a Standard Perturbative Discretization. the Nonlinear Terms Are Discretized Fully Explicitly within the Framework of the Generalized Positive Auxiliary Variable Approach (GPAV). Artificial Viscosity Stabilization that Modifies the Kinetic Energy is Introduced to Improve Accuracy of the GPAV Ensemble Methods. Numerical Results Are Presented to Demonstrate the Accuracy and Robustness of the Ensemble Algorithms.
Recommended Citation
J. Carter et al., "Second Order, Unconditionally Stable, Linear Ensemble Algorithms for the Magnetohydrodynamics Equations," Journal of Scientific Computing, vol. 94, no. 2, article no. 41, Springer, Jan 2023.
The definitive version is available at https://doi.org/10.1007/s10915-022-02091-4
Department(s)
Mathematics and Statistics
Keywords and Phrases
Ensemble algorithm; MHD; SAV; Uncertainty quantification; Unconditional stability
International Standard Serial Number (ISSN)
1573-7691; 0885-7474
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Springer, All rights reserved.
Publication Date
01 Jan 2023
Comments
National Science Foundation, Grant DMS-1720001