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Invariant domain preserving schemes for magnetohydrodynamics
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Numerical Analysis.ORCID iD: 0000-0002-5591-0373
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Description
Abstract [en]

Magnetohydrodynamics (MHD) studies the behaviors of ionized gases, such as plasmas, in the presence of a magnetic field. MHD is used in many applications, such as geophysics, space physics, and nuclear fusion.

Despite intensive research in recent decades, many physical and numerical aspects of MHD are not well understood. The challenges inherent in solving MHD stem from the obstacles encountered in ordinary hydrodynamics, such as those described by the compressible Euler/Navier-Stokes equations, along with the intricacies arising from electromagnetism. A characteristic of compressible flows is their tendency to develop shocks/discontinuities over time. This often leads to unphysical traits in numerical approximations if the capturing scheme is not constructed properly. By physical laws, the magnetic field is solenoidal. However, in practice, numerical schemes seldom ensure this property precisely, which may lead to instability and convergence to wrong solutions. In numerical simulation of many applications, positive physical quantities such as density and pressure can easily become negative. On the whole, preserving the physical relevance of the numerical solutions poses a significant challenge in MHD.

This thesis presents several numerical schemes based on Galerkin approximations to solve MHD. The schemes rely on viscous regularization, a technique to remove mathematical singularities by adding a vanishing viscosity term to the MHD equations. At the continuous level, we propose several choices of viscous regularization and rigorously show that they are consistent with thermodynamics. Based on these choices, we construct numerical schemes of which robustness is confirmed through many challenging benchmarks. Finally, we propose a nonconventional algorithm that simultaneously preserves many desirable physical properties, including positivity of density and internal energy, conservation of total energy, minimum entropy principle, and zero magnetic divergence.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2024. , p. 50
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology, ISSN 1651-6214 ; 2414
Keywords [en]
MHD, magnetohydrodynamics, finite element method, artificial viscosity, viscous regularization, invariant domain
National Category
Computational Mathematics
Research subject
Numerical Analysis
Identifiers
URN: urn:nbn:se:uu:diva-532130ISBN: 978-91-513-2165-3 (print)OAI: oai:DiVA.org:uu-532130DiVA, id: diva2:1872071
Public defence
2024-09-06, Sonja Lyttkens, 101121, Ångström, Lägerhyddsvägen 1, Uppsala, 10:15 (English)
Opponent
Supervisors
Available from: 2024-08-13 Created: 2024-06-17 Last updated: 2024-08-13
List of papers
1. A High-Order Residual-Based Viscosity Finite Element Method for the Ideal MHD Equations
Open this publication in new window or tab >>A High-Order Residual-Based Viscosity Finite Element Method for the Ideal MHD Equations
2022 (English)In: Journal of Scientific Computing, ISSN 0885-7474, E-ISSN 1573-7691, Vol. 92, no 3, article id 77Article in journal (Refereed) Published
Abstract [en]

We present a high order, robust, and stable shock-capturing technique for finite element approximations of ideal MHD. The method uses continuous Lagrange polynomials in space and explicit Runge-Kutta schemes in time. The shock-capturing term is based on the residual of MHD which tracks the shock and discontinuity positions, and adds sufficient amount of viscosity to stabilize them. The method is tested up to third order polynomial spaces and an expected fourth-order convergence rate is obtained for smooth problems. Several discontinuous benchmarks such as Orszag-Tang, MHD rotor, Brio-Wu problems are solved in one, two, and three spacial dimensions. Sharp shocks and discontinuity resolutions are obtained.

Place, publisher, year, edition, pages
Springer NatureSpringer Nature, 2022
National Category
Computational Mathematics Applied Mechanics
Research subject
Scientific Computing with specialization in Numerical Analysis
Identifiers
urn:nbn:se:uu:diva-480868 (URN)10.1007/s10915-022-01918-4 (DOI)000829810200002 ()
Funder
Uppsala UniversitySwedish Research Council, 2021-04620
Available from: 2022-07-22 Created: 2022-07-22 Last updated: 2024-06-17Bibliographically approved
2. Monolithic parabolic regularization of the MHD equations and entropy principles
Open this publication in new window or tab >>Monolithic parabolic regularization of the MHD equations and entropy principles
2022 (English)In: Computer Methods in Applied Mechanics and Engineering, ISSN 0045-7825, E-ISSN 1879-2138, Vol. 398, article id 115269Article in journal (Refereed) Published
Abstract [en]

We show at the PDE level that the monolithic parabolic regularization of the equations of ideal magnetohydrodynamics (MHD) is compatible with all the generalized entropies, fulfills the minimum entropy principle, and preserves the positivity of density and internal energy. We then numerically investigate this regularization for the MHD equations using continuous finite elements in space and explicit strong stability preserving Runge–Kutta methods in time. The artificial viscosity coefficient of the regularization term is constructed to be proportional to the entropy residual of MHD. It is shown that the method has a high order of accuracy for smooth problems and captures strong shocks and discontinuities accurately for non-smooth problems.

Place, publisher, year, edition, pages
Elsevier, 2022
Keywords
MHD, Artificial viscosity, Entropy inequalities, Viscous regularization, Entropy viscosity
National Category
Computational Mathematics
Research subject
Scientific Computing with specialization in Numerical Analysis
Identifiers
urn:nbn:se:uu:diva-480284 (URN)10.1016/j.cma.2022.115269 (DOI)000877859100004 ()
Funder
Swedish National Infrastructure for Computing (SNIC), 2021/22-233Swedish Research Council, 2021-04620
Available from: 2022-07-08 Created: 2022-07-08 Last updated: 2024-06-17Bibliographically approved
3. A nodal based high order nonlinear stabilization for finite element approximation of Magnetohydrodynamics
Open this publication in new window or tab >>A nodal based high order nonlinear stabilization for finite element approximation of Magnetohydrodynamics
2024 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 512, p. 113146-113146, article id 113146Article in journal (Refereed) Published
Abstract [en]

We present a novel high-order nodal artificial viscosity approach designed for solving Magnetohydrodynamics (MHD) equations. Unlike conventional methods, our approach eliminates the need for ad hoc parameters. The viscosity is mesh-dependent, yet explicit definition of the mesh size is unnecessary. Our method employs a multimesh strategy: the viscosity coefficient is constructed from a linear polynomial space constructed on the fine mesh, corresponding to the nodal values of the finite element approximation space. The residual of MHD is utilized to introduce high-order viscosity in a localized fashion near shocks and discontinuities. This approach is designed to precisely capture and resolve shocks. Then, high-order Runge-Kutta methods are employed to discretize the temporal domain. Through a comprehensive set of challenging test problems, we validate the robustness and high-order accuracy of our proposed approach for solving MHD equations.

Keywords
MHD, Stabilized finite element method, Artificial viscosity, Residual based shock-capturing, High order method
National Category
Computational Mathematics
Research subject
Numerical Analysis
Identifiers
urn:nbn:se:uu:diva-532125 (URN)10.1016/j.jcp.2024.113146 (DOI)
Funder
Swedish Research Council, 2021-04620Uppsala University
Available from: 2024-06-17 Created: 2024-06-17 Last updated: 2024-06-17
4. Viscous Regularization of the MHD Equations
Open this publication in new window or tab >>Viscous Regularization of the MHD Equations
2024 (English)In: SIAM Journal on Applied Mathematics, ISSN 0036-1399, E-ISSN 1095-712X, Vol. 84, no 4, p. 1439-1459Article in journal (Refereed) Published
Abstract [en]

Nonlinear conservation laws such as the system of ideal magnetohydrodynamics (MHD) equations may develop singularities over time. In these situations, viscous regularization is a common approach to regain regularity of the solution. In this paper, we present a new viscous flux to regularize the MHD equations that holds many attractive properties. In particular, we prove that the proposed viscous flux preserves positivity of density and internal energy, satisfies the minimum entropy principle, is consistent with all generalized entropies, and is Galilean and rotationally invariant. We also provide a variation of the viscous flux that conserves angular momentum. To make the analysis more useful for numerical schemes, the divergence of the magnetic field is not assumed to be zero. Using continuous finite elements, we show several numerical experiments, including contact waves and magnetic reconnection.

Place, publisher, year, edition, pages
Society for Industrial and Applied Mathematics, 2024
Keywords
MHD, viscous regularization, artificial viscosity, entropy principles
National Category
Mathematical Analysis Computational Mathematics
Identifiers
urn:nbn:se:uu:diva-501279 (URN)10.1137/23M1564274 (DOI)001301442700007 ()
Funder
Swedish Research Council, 2021-04620Swedish National Infrastructure for Computing (SNIC), 2021/22-233UPPMAX
Available from: 2023-05-04 Created: 2023-05-04 Last updated: 2024-09-11Bibliographically approved
5. A structure preserving numerical method for the ideal compressible MHD system
Open this publication in new window or tab >>A structure preserving numerical method for the ideal compressible MHD system
2024 (English)In: Journal of Computational Physics, ISSN 0021-9991, E-ISSN 1090-2716, Vol. 508, article id 113009Article in journal (Refereed) Published
Abstract [en]

We introduce a novel structure-preserving method in order to approximate the compressible ideal Magnetohydrodynamics (MHD) equations. This technique addresses the MHD equations using a non-divergence formulation, where the contributions of the magnetic field to the momentum and total mechanical energy are treated as source terms. Our approach uses the Marchuk-Strang splitting technique and involves three distinct components: a compressible Euler solver, a source-system solver, and an update procedure for the total mechanical energy. The scheme allows for significant freedom on the choice of Euler's equation solver, while the magnetic field is discretized using a curl-conforming finite element space, yielding exact preservation of the involution constraints. We prove that the method preserves invariant domain properties, including positivity of density, positivity of internal energy, and the minimum principle of the specific entropy. If the scheme used to solve Euler's equation conserves total energy, then the resulting MHD scheme can be proven to preserve total energy. Similarly, if the scheme used to solve Euler's equation is entropy-stable, then the resulting MHD scheme is entropy stable as well. In our approach, the CFL condition does not depend on magnetosonic wave-speeds, but only on the usual maximum wavespeed from Euler's system. To validate the effectiveness of our method, we solve a variety of ideal MHD problems, showing that the method is capable of delivering second-order accuracy in space for smooth problems, while also offering unconditional robustness in the shock hydrodynamics regime as well.

Keywords
MHD, Vanishing viscosity limit, Structure preserving, Invariant domain, Involution constraints, Energy-stability
National Category
Computational Mathematics
Research subject
Numerical Analysis
Identifiers
urn:nbn:se:uu:diva-532127 (URN)10.1016/j.jcp.2024.113009 (DOI)
Funder
Uppsala UniversitySwedish Research Council, 2021-04620Swedish Research Council, 2021-05095
Available from: 2024-06-17 Created: 2024-06-17 Last updated: 2024-09-02

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