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Explicit Numerical Manifold Characteristic Galerkin Method for Solving Burgers’ Equation
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This paper presents a nonstandard numerical manifold method (NMM) for solving Burgers’ equation. Employing the characteristic Galerkin method, we initially apply the Crank–Nicolson method for temporal discretization along the characteristic. Subsequently, utilizing the Taylor expansion, we transform the semi-implicit formula into a fully explicit form. For spacial discretization, we construct the NMM dual-cover system tailored to Burgers’ equation. We choose constant cover functions and first-order weight functions to enhance computational efficiency and exactly import boundary constraints. Finally, the integrated computing scheme is derived by using the standard Galerkin method, along with a Thomas algorithm-based solution procedure. The proposed method is verified through six benchmark numerical examples under various initial boundary conditions. Extensive comparisons with analytical solutions and results from alternative methods are conducted, demonstrating the accuracy and stability of our approach, particularly in solving Burgers’ equation at high Reynolds numbers.
Title: Explicit Numerical Manifold Characteristic Galerkin Method for Solving Burgers’ Equation
Description:
This paper presents a nonstandard numerical manifold method (NMM) for solving Burgers’ equation.
Employing the characteristic Galerkin method, we initially apply the Crank–Nicolson method for temporal discretization along the characteristic.
Subsequently, utilizing the Taylor expansion, we transform the semi-implicit formula into a fully explicit form.
For spacial discretization, we construct the NMM dual-cover system tailored to Burgers’ equation.
We choose constant cover functions and first-order weight functions to enhance computational efficiency and exactly import boundary constraints.
Finally, the integrated computing scheme is derived by using the standard Galerkin method, along with a Thomas algorithm-based solution procedure.
The proposed method is verified through six benchmark numerical examples under various initial boundary conditions.
Extensive comparisons with analytical solutions and results from alternative methods are conducted, demonstrating the accuracy and stability of our approach, particularly in solving Burgers’ equation at high Reynolds numbers.
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