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A Mixed Finite Element Method for Stationary Magneto-Heat Coupling System with Variable Coefficients.
Qianqian Ding1, Xiaonian Long2, Shipeng Mao3
1School of Mathematics, Shandong University, Jinan 250100, China.
This study introduces a mixed finite element method for analyzing incompressible magnetohydrodynamics (MHD) problems with temperature-dependent properties. The proposed numerical scheme achieves optimal error estimates for key variables, demonstrating its effectiveness.
Area of Science:
- Computational fluid dynamics
- Magnetohydrodynamics (MHD)
- Numerical analysis
Background:
- Magnetohydrodynamics (MHD) problems involve complex interactions between fluid flow and magnetic fields.
- Temperature-dependent physical parameters increase the nonlinearity and difficulty of solving MHD systems.
- Existing numerical methods may struggle with the low regularity of solutions in such problems.
Purpose of the Study:
- To develop and analyze a mixed finite element method for thermally coupled, stationary incompressible MHD problems.
- To handle systems with temperature-dependent coefficients and address increased nonlinearity.
- To establish rigorous error estimates for the proposed numerical scheme.
Main Methods:
- A mixed finite element method is employed for the analysis.
- Nédélec edge elements are used for the magnetic equation approximation.
- Mixed finite elements approximate the thermal and Navier-Stokes equations.
- The scheme is designed for coefficients dependent on temperature.
Main Results:
- Optimal error estimates are rigorously established for velocity, pressure, temperature, magnetic induction, and the Lagrange multiplier.
- The analysis accommodates solutions with low regularity.
- A numerical experiment validates the performance and convergence rates of the scheme.
Conclusions:
- The proposed mixed finite element method is effective for thermally coupled, stationary incompressible MHD problems with temperature-dependent parameters.
- The numerical scheme provides accurate results and demonstrates good convergence properties.
- This work contributes to the reliable numerical simulation of complex MHD phenomena.
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