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相关论文: Well-balanced Central Scheme for the System of MHD…

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We design a conservative finite difference scheme for ideal magnetohydrodynamic simulations that attains high-order accuracy, shock-capturing, and divergence-free condition of the magnetic field. The scheme interpolates pointwise physical…

天体物理仪器与方法 · 物理学 2019-06-05 Takashi Minoshima , Takahiro Miyoshi , Yosuke Matsumoto

We propose a second-order accurate semi-implicit and well-balanced finite volume scheme for the equations of ideal magnetohydrodynamics (MHD) including gravitational source terms. The scheme treats all terms associated with the acoustic…

数值分析 · 数学 2023-06-29 Claudius Birke , Walter Boscheri , Christian Klingenberg

We develop a second-order well-balanced central-upwind scheme for the compressible Euler equations with gravitational source term. Here, we advocate a new paradigm based on a purely conservative reformulation of the equations using global…

数值分析 · 数学 2018-02-14 Alina Chertock , Shumo Cui , Alexander Kurganov , Şeyma Nur Özcan , Eitan Tadmor

We present a new multi-dimensional, robust, and cell-centered finite-volume scheme for the ideal MHD equations. This scheme relies on relaxation and splitting techniques and can be easily used at high order. A fully conservative version is…

We develop a second-order accurate central scheme for the two-dimensional hyperbolic system of in-homogeneous conservation laws. The main idea behind the scheme is that we combine the well-balanced deviation method with the Kurganov-Tadmor…

数值分析 · 数学 2024-06-12 Yu-Chen Cheng , Christian Klingenberg , Rony Touma

Numerical methods for solving the ideal magnetohydrodynamic (MHD) equations in more than one space dimension must confront the challenge of controlling errors in the discrete divergence of the magnetic field. One approach that has been…

数值分析 · 数学 2012-10-16 Christiane Helzel , James A. Rossmanith , Bertram Taetz

We present and compare third- as well as fifth-order accurate finite difference schemes for the numerical solution of the compressible ideal MHD equations in multiple spatial dimensions. The selected methods lean on four different…

高能天体物理现象 · 物理学 2015-05-18 A. Mignone , P. Tzeferacos , G. Bodo

In this paper, we propose a new MUSCL scheme by combining the ideas of the Kurganov and Tadmor scheme and the so-called Deviation method which results in a well-balanced finite volume method for the hyperbolic balance laws, by evolving the…

数值分析 · 数学 2024-05-15 Yu-Chen Cheng , Christian Klingenberg , Rony Touma

Numerical methods for solving the ideal magnetohydrodynamic (MHD) equations in more than one space dimension must either confront the challenge of controlling errors in the discrete divergence of the magnetic field, or else be faced with…

数值分析 · 数学 2015-05-19 Christiane Helzel , James A. Rossmanith , Bertram Taetz

Magnetic fields play an important role in many astrophysical systems and a detailed understanding of their impact on the gas dynamics requires robust numerical simulations. Here we present a new method to evolve the ideal…

天体物理仪器与方法 · 物理学 2015-06-18 Philip Mocz , Mark Vogelsberger , Lars Hernquist

We develop a second order well-balanced finite volume scheme for compressible Euler equations with a gravitational source term. The well-balanced property holds for arbitrary hydrostatic solutions of the corresponding Euler equations…

In this paper we present a novel pressure-based semi-implicit finite volume solver for the equations of compressible ideal, viscous and resistive magnetohydrodynamics (MHD). The new method is conservative for mass, momentum and total energy…

数值分析 · 数学 2018-12-26 Michael Dumbser , Dinshaw S. Balsara , Maurizio Tavelli , Francesco Fambri

A third order shock-capturing numerical scheme for three-dimensional special relativistic magnetohydrodynamics (3-D RMHD) is presented and validated against several numerical tests. The simple and efficient central scheme described in Paper…

天体物理学 · 物理学 2009-11-07 L. Del Zanna , N. Bucciantini , P. Londrillo

A high-fidelity finite volume scheme based on the BVD (boundary variation diminishing) concept is proposed in this study to solve the ideal magnetohydrodynamics (MHD) equations. A hybrid spatial reconstruction profile, consisting of a…

流体动力学 · 物理学 2024-04-24 Pan Chenxi , Song Sheng , Chen Chungang , Li Xingliang , Shen Xueshun , Xiao Feng

We assess the validity of a single step Godunov scheme for the solution of the magneto-hydrodynamics equations in more than one dimension. The scheme is second-order accurate and the temporal discretization is based on the dimensionally…

天体物理仪器与方法 · 物理学 2014-11-20 A. Mignone , P. Tzeferacos

In this work we develop a class of high-order finite difference weighted essentially non-oscillatory (FD-WENO) schemes for solving the ideal magnetohydrodynamic (MHD) equations in 2D and 3D. The philosophy of this work is to use efficient…

数值分析 · 数学 2015-06-17 Andrew J. Christlieb , James A. Rossmanith , Qi Tang

The constrained transport (CT) method reflects the state of the art numerical technique for preserving the divergence-free condition of magnetic field to machine accuracy in multi-dimensional MHD simulations performed with Godunov-type, or…

计算物理 · 物理学 2020-12-02 Andrea Mignone , Luca Del Zanna

We present a general framework to design Godunov-type schemes for multidimensional ideal magnetohydrodynamic (MHD) systems, having the divergence-free relation and the related properties of the magnetic field B as built-in conditions. Our…

天体物理学 · 物理学 2009-11-10 P. Londrillo , L. Del Zanna

A general method for constructing high order upwind schemes for multidimensional magnetohydrodynamics (MHD), having as a main built-in condition the divergence-free constraint $\divb=0$ for the magnetic field vector $\bb$, is proposed. The…

天体物理学 · 物理学 2009-10-31 P. Londrillo , L. Del Zanna

We present a fourth-order accurate finite volume method for the solution of ideal magnetohydrodynamics (MHD). The numerical method combines high-order quadrature rules in the solution of semi-discrete formulations of hyperbolic conservation…

天体物理仪器与方法 · 物理学 2018-10-17 Kyle Gerard Felker , James Stone
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