Abstract
We study a second order ensemble method for fast computation of an ensemble of magnetohydrodynamics flows at small magnetic Reynolds number. Computing an ensemble of flow equations with different input parameters is a common procedure for uncertainty quantification in many engineering applications, for which the computational cost can be prohibitively expensive for nonlinear complex systems. We propose an ensemble algorithm that requires only solving one linear system with multiple right-hands instead of solving multiple different linear systems, which significantly reduces the computational cost and simulation time. Comprehensive stability and error analyses are presented proving conditional stability and second order in time convergent. Numerical tests are provided to illustrate theoretical results and demonstrate the efficiency of the proposed algorithm.
Recommended Citation
J. Carter and N. Jiang, "Numerical Analysis of a Second Order Ensemble Method for Evolutionary Magnetohydrodynamics Equations at Small Magnetic Reynolds Number," Numerical Methods for Partial Differential Equations, vol. 38, no. 5, pp. 1407 - 1436, Wiley, Sep 2022.
The definitive version is available at https://doi.org/10.1002/num.22843
Department(s)
Mathematics and Statistics
Keywords and Phrases
ensemble algorithm; finite element method; low magnetic Reynolds number; MHD; partitioned method; uncertainty quantification
International Standard Serial Number (ISSN)
1098-2426; 0749-159X
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2023 Wiley, All rights reserved.
Publication Date
01 Sep 2022
Comments
National Science Foundation, Grant DMS‐1720001