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We modify an existing magnetohydrodynamics algorithm to make it more compatible with a dimensionally-split (DS) framework. It is based on the standard reconstruct-solve-average strategy (using a Riemann solver), and relies on constrained…

天体物理仪器与方法 · 物理学 2013-05-17 Hari Sriskantha , Maximilian Ruffert

We describe a method for incorporating ambipolar diffusion in the strong coupling approximation into a multidimensional magnetohydrodynamics code based on the total variation diminishing scheme. Contributions from ambipolar diffusion terms…

天体物理学 · 物理学 2009-11-13 Eunwoo Choi , Jongsoo Kim , Paul J. Wiita

We present a divergence-free and $H(div)$-conforming hybridized discontinuous Galerkin (HDG) method and a computationally efficient variant called embedded-HDG (E-HDG) for solving stationary incompressible viso-resistive magnetohydrodynamic…

数值分析 · 数学 2024-09-27 Jau-Uei Chen , Tamás L. Horváth , Tan Bui-Thanh

FISH is a fast and simple ideal magneto-hydrodynamics code that scales to ~10 000 processes for a Cartesian computational domain of ~1000^3 cells. The simplicity of FISH has been achieved by the rigorous application of the operator…

天体物理仪器与方法 · 物理学 2011-08-11 R. Kaeppeli , S. C. Whitehouse , S. Scheidegger , U. -L. Pen , M. Liebendoerfer

We describe a newly developed hydrodynamic code for studying accretion disk processes. The numerical method uses a finite volume, nonlinear, Total Variation Diminishing (TVD) scheme to capture shocks and control spurious oscillations. It is…

天体物理学 · 物理学 2008-12-18 L. R. Mudryk , N. W. Murray

The force-free limit of magnetohydrodynamics (MHD) is often a reasonable approximation to model black hole and neutron star magnetospheres. We describe a general relativistic force-free (GRFFE) formulation that allows general relativistic…

天体物理学 · 物理学 2009-11-11 Jonathan C. McKinney

Analyzing magnetohydrodynamic (MHD) flows requires accurate predictions of the Lorentz force and energy conversion. Total energy, cross-helicity, and magnetic helicity can be used to investigate energy conservation properties in inviscid…

流体动力学 · 物理学 2024-07-03 Hideki Yanaoka

Designing efficient and high-accuracy numerical methods for complex dynamic incompressible magnetohydrodynamics (MHD) equations remains a challenging problem in various analysis and design tasks. This is mainly due to the nonlinear coupling…

数值分析 · 数学 2023-11-28 Xiaofei Guan , Boya Hu , Shipeng Mao , Xintong Wang , Zihao Yang

In this paper, we mainly focus on the rigorous convergence analysis of two fully decoupled, unconditionally energy-stable methods for the diffuse interface two-phase magnetohydrodynamics (MHD) model. The two methods consist of the…

偏微分方程分析 · 数学 2025-04-25 Ke Zhang , Haiyan Su , Xinlong Feng

We present a novel method of magnetohydrodynamics (MHD) within the smoothed particle hydrodynamics scheme using the Geometric Density average force expression (GDSPH). GDSPH has recently been shown to reduce the leading order errors and…

天体物理仪器与方法 · 物理学 2020-07-31 Robert Wissing , Sijing Shen

We investigate the ideal and incompressible magnetohydrodynamic (MHD) equations in three space dimensions for the development of potentially singular structures. The methodology consists in implementing the four-fold symmetries of the…

等离子体物理 · 物理学 2015-06-05 M. E. Brachet , M. D. Bustamante , G. Krstulovic , P. D. Mininni , A. Pouquet , D. Rosenberg

We describe a novel operator-splitting approach to numerical relativistic magnetohydrodynamics designed to expand its applicability to the domain of ultra-high magnetisation. In this approach, the electromagnetic field is split into the…

天体物理仪器与方法 · 物理学 2023-11-08 David Phillips , Serguei Komissarov

The relativistic magnetohydrodynamics (RMHD) set of equations has recently seen increased use in astrophysical computations. Even so, RMHD codes remain fragile. The reconstruction can sometimes yield superluminal velocities in certain parts…

高能天体物理现象 · 物理学 2016-03-23 Dinshaw S. Balsara , Jinho Kim

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 article, we consider the 3D-rotating magnetohydrodynamic (MHD) system when the initial velocity and magnetic field both feature some 2D-part (i.-e. depending only on the horizontal space variables). We prove for weak and strong…

偏微分方程分析 · 数学 2025-07-10 Frédéric Charve , Van-Sang Ngo

A program to generate codes in Fortran and C of the full Magnetohydrodynamic equations is shown. The program used the free computer algebra system software REDUCE. This software has a package called EXCALC, which is an exterior calculus…

天体物理仪器与方法 · 物理学 2016-07-20 Francisco Frutos-Alfaro , Rodrigo Carboni-Mendez

We construct a relativistic resistive magneto-hydrodynamic (RRMHD) numerical simulation code for high-energy heavy-ion collisions. We split the system of differential equations into two parts, a non-stiff and a stiff part. For the non-stiff…

核理论 · 物理学 2023-04-05 Kouki Nakamura , Takahiro Miyoshi , Chiho Nonaka , Hiroyuki R. Takahashi

In this paper, we first establish a new fractional magnetohydrodynamic (MHD) coupled flow and heat transfer model for a generalized second-grade fluid. This coupled model consists of a fractional momentum equation and a heat conduction…

数值分析 · 数学 2022-11-29 Xiaoqing Chi , Hui Zhang , Xiaoyun Jiang

We present a new numerical code which solves the general relativistic magneto-hydrodynamics (GRMHD) equations coupled to the Einstein equations for the evolution of a dynamical spacetime within the conformally-flat approximation. This code…

天体物理学 · 物理学 2009-11-13 Pablo Cerdá-Durán , José A. Font , Luis Antón , Ewald Müller

In two previous papers (Price & Monaghan 2004a,b) (papers I,II) we have described an algorithm for solving the equations of Magnetohydrodynamics (MHD) using the Smoothed Particle Hydrodynamics (SPH) method. The algorithm uses dissipative…

天体物理学 · 物理学 2009-11-13 D. J. Price , J. J. Monaghan