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We address in this paper a model for the simulation of turbulent deflagrations in industrial applications. The flow is governed by the Euler equations for a variable composition mixture and the combustion modelling is based on a…

数值分析 · 数学 2020-10-16 D Grapsas , Raphaèle Herbin , J. -C Latché , Y Nasseri

A long-standing and formidable challenge faced by all conservative schemes for relativistic magnetohydrodynamics (RMHD) is the recovery of primitive variables from conservative ones. This process involves solving highly nonlinear equations…

数值分析 · 数学 2024-04-09 Chaoyi Cai , Jianxian Qiu , Kailiang Wu

Modern simulation codes for general relativistic ideal magnetohydrodynamics are all facing a long standing technical problem given by the need to recover fundamental variables from those variables that are evolved in time. In the…

广义相对论与量子宇宙学 · 物理学 2021-01-26 Wolfgang Kastaun , Jay Vijay Kalinani , Riccardo Ciolfi

Conservative numerical schemes for general relativistic magnetohydrodynamics (GRMHD) require a method for transforming between ``conserved'' variables such as momentum and energy density and ``primitive'' variables such as rest-mass…

天体物理学 · 物理学 2009-11-13 Scott C. Noble , Charles F. Gammie , Jonathan C. McKinney , Luca Del Zanna

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

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

We have written and tested a new general relativistic magnetohydrodynamics (GRMHD) code, capable of evolving MHD fluids in dynamical spacetimes with adaptive-mesh refinement (AMR). Our code solves the Einstein-Maxwell-MHD system of coupled…

高能天体物理现象 · 物理学 2010-10-27 Zachariah B. Etienne , Yuk Tung Liu , Stuart L. Shapiro

Numerical simulations including magnetic fields have become important in many fields of astrophysics. Evolution of magnetic fields by the constrained transport algorithm preserves magnetic divergence to machine precision, and thus…

天体物理学 · 物理学 2009-11-13 Jason Maron , Mordecai-Mark Mac Low , Jeffrey Oishi

A description is given of the algorithms implemented in the AstroBEAR adaptive mesh refinement code for ideal magnetohydrodynamics. The code provides several high resolution, shock capturing schemes which are constructed to maintain…

天体物理学 · 物理学 2009-06-23 Andrew J. Cunningham , Adam Frank , Peggy Varniere , Sorin Mitran , Thomas W. Jones

Magnetohydrodynamics (MHD) describes the interaction between electrically conducting fluids and electromagnetic fields. We propose and analyze a symplectic, second-order algorithm for the evolutionary MHD system in Els\"asser variables. We…

数值分析 · 数学 2025-07-18 Zhen Yao , Catalin Trenchea , Wenlong Pei

We describe a new Godunov algorithm for relativistic magnetohydrodynamics (RMHD) that combines a simple, unsplit second order accurate integrator with the constrained transport (CT) method for enforcing the solenoidal constraint on the…

高能天体物理现象 · 物理学 2015-05-27 Kris Beckwith , James M. Stone

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

The applicability of relativistic magnetohydrodynamics (RMHD) and its generalization to two-fluid models (including the Hall and inertial effects) is systematically investigated by using the method of dominant balance in the two-fluid…

等离子体物理 · 物理学 2024-12-10 Shuntaro Yoshino , Makoto Hirota , Yuji Hattori

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 present 2D MHD numerical simulations of tearing-unstable current sheets coupled to a population of non-thermal test-particles, in order to address the problem of numerical convergence with respect to grid resolution, numerical method and…

等离子体物理 · 物理学 2021-10-15 Eleonora Puzzoni , Andrea Mignone , Gianluigi Bodo

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

We consider an incompressible magnetohydrodynamics (MHD) model in which the classical first-order time derivatives in the momentum and magnetic induction equations are replaced by variable-order Caputo time-fractional derivatives. This…

A well-balanced second order finite volume central scheme for the magnetohydrodynamic (MHD) equations with gravitational source term is developed in this paper. The scheme is an unstaggered central scheme that evolves the numerical solution…

偏微分方程分析 · 数学 2022-02-18 Farah Kanbar , Rony Touma , Christian Klingenberg

Relativistic magnetohydrodynamics (RMHD) provides an extremely useful description of the low-energy long-wavelength phenomena in a variety of physical systems from quark-gluon plasma in heavy-ion collisions to matters in supernovas, compact…

高能物理 - 理论 · 物理学 2022-09-20 Koichi Hattori , Masaru Hongo , Xu-Guang Huang

General-relativistic magnetohydrodynamic (GRMHD) simulations are an important tool to study a variety of astrophysical systems such as neutron star mergers, core-collapse supernovae, and accretion onto compact objects. A conservative GRMHD…

高能天体物理现象 · 物理学 2018-06-26 Daniel M. Siegel , Philipp Mösta , Dhruv Desai , Samantha Wu
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