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首页> 外文期刊>Computer physics communications >ALARIC: An algorithm for constructing arbitrarily complex initial density distributions with low particle noise for SPH/SPMHD applications
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ALARIC: An algorithm for constructing arbitrarily complex initial density distributions with low particle noise for SPH/SPMHD applications

机译:ALARIC:一种算法,用于构建具有低粒子噪声的任意复杂的初始密度分布,用于SPH / SPMHD应用

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摘要

A method is presented to obtain initial conditions for Smoothed Particle Hydrodynamic (SPH) scenarios where arbitrarily complex density distributions and low particle noise are needed. Our method, named ALARIC, tampers with the evolution of the internal variables to obtain a fast and efficient profile evolution towards the desired goal. The result has very low levels of particle noise and constitutes a perfect candidate to study the equilibrium and stability properties of SPHISPMHD systems. The method uses the iso-thermal SPH equations to calculate hydrodynamical forces under the presence of an external fictitious potential and evolves them in time with a 2nd-order symplectic integrator. The proposed method generates tailored initial conditions that perforrri better in many cases than those based on purely crystalline lattices, since it prevents the appearance of anisotropies. (C) 2017 Elsevier B.V. All rights reserved.
机译:提出了一种方法以获得用于平滑粒子流体动力学(SPH)场景的初始条件,其中需要任意复合密度分布和低粒子噪声。 我们的方法,命名为Alaric,篡改内部变量的演变,以获得所需目标的快速有效的思想化演变。 结果具有非常低的粒子噪声水平,并构成了研究SphispMHD系统的平衡和稳定性特性的完美候选者。 该方法使用ISO-热SPH方程来计算外部虚构潜力的存在下的流体动力学力,并随着2nd阶yspectic Integrectator及时在时间上发展。 所提出的方法产生量身定制的初始条件,比基于纯结晶格子的情况更好,因为它可以防止各向异性的外观。 (c)2017 Elsevier B.v.保留所有权利。

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