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首页> 外文期刊>Journal of Computational Physics >The HLLD Riemann solver based on magnetic field decomposition method for the numerical simulation of magneto-hydrodynamics
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The HLLD Riemann solver based on magnetic field decomposition method for the numerical simulation of magneto-hydrodynamics

机译:基于磁场分解法的HLLD Riemann求解器用于磁流体动力学的数值模拟

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By splitting magnetic field into two components (internal plus external), we derived an extended formulation of the HLLD Riemann solver for numerical simulation of magneto-hydrodynamics (MHD). This new solver is backward compatible with the standard HLLD Riemann solver when the external component of the magnetic field is zero. Moreover, the solver is more robust than the standard HLLD solver in applications to low plasma beta (the ratio between thermal and magnetic pressures) cases, where the thermal pressure may become negative from subtracting the kinetic and large magnetic energy from the large total energy density in a Godunov type numerical scheme. Our numerical tests show that the extended HLLD solver works well for the cases of magnetic field decomposition, and maintains high resolution similar to the standard HLLD. (C) 2016 Elsevier Inc. All rights reserved.
机译:通过将磁场分为两个部分(内部和外部),我们导出了HLLD Riemann求解器的扩展公式,用于磁流体动力学(MHD)的数值模拟。当磁场的外部分量为零时,该新求解器与标准HLLD Riemann求解器向后兼容。而且,在低等离子β(热压与磁压之比)的情况下,该求解器比标准的HLLD求解器更坚固耐用,在这种情况下,通过从大的总能量密度中减去动能和大的磁能,热压可能变为负在Godunov类型的数值方案中。我们的数值测试表明,扩展的HLLD求解器在磁场分解的情况下效果很好,并且保持与标准HLLD相似的高分辨率。 (C)2016 Elsevier Inc.保留所有权利。

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