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arXiv 1905.06332cond-mat.stat-mechphysics.comp-ph
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平滑耗散粒子动力学的熵稳定性分析

Entropy stability analysis of smoothed dissipative particle dynamics

The University of Tokyo(东京大学)

Satori Tsuzuki

AI总结:

本文通过分析SDPD的熵稳定性条件,揭示了不同核函数对熵稳定性的影响,为粒子离散化方法提供了新的理解。

摘要:

本文对平滑耗散粒子动力学(SDPD)进行了熵稳定性分析,以审查粒子离散化熵方程的有效性。首先,我们考虑最简单的SDPD系统:使用显式时间积分方案模拟不可压缩流体,假设准静态场景,体积、粒子数恒定,时间变化微小。接着,我们从SDPD的离散熵方程出发,通过时间积分推导出熵的形式。然后,我们检验了恒温梯度下两粒子系统的性质。有趣的是,我们的理论分析表明,存在八种不同的熵稳定性条件,这些条件取决于核函数的类型。发现Lucy核、poly6核和spiky核产生相同的熵稳定性条件,而spline核产生不同的熵稳定性条件。我们的结果有助于更深入地理解粒子离散化。

英文摘要:

This article presents an entropy stability analysis of smoothed dissipative particle dynamics (SDPD) to review the validity of particle discretization of entropy equations. First, we consider the simplest SDPD system: a simulation of incompressible flows using an explicit time integration scheme, assuming a quasi-static scenario with constant volume, constant number of particles, and infinitesimal time shift. Next, we derive a form of entropy from the discretized entropy equation of SDPD by integrating it with respect to time. We then examine the properties of a two-particle system for a constant temperature gradient. Interestingly, our theoretical analysis suggests that there exist eight different types of entropy stability conditions, which depend on the types of kernel functions. It is found that the Lucy kernel, poly6 kernel, and spiky kernel produce the same types of entropy stability conditions, whereas the spline kernel produces different types of entropy stability conditions. Our results contribute to a deeper understanding of particle discretization.

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