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arXiv 0906.0482cond-mat.soft
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高度多分散颗粒气体中的能量分配

Partitioning of energy in highly polydisperse granular gases

Hildegard Uecker, W. Till Kranz, Timo Aspelmeier, Annette Zippelius

摘要:

一个高度多分散的颗粒气体是由一个连续分布的颗粒尺寸,a,产生相应的连续温度分布,T(a),我们计算近似,概括以前的结果为二元或多组分混合物。如果该系统是驱动的,它朝着一个稳定的温度分布,这是讨论了几个驱动机制依赖于尺寸分布的方差。对于均匀分布的尺寸,静止的温度分布是不均匀的,无论是热的小颗粒(恒定力驱动)或热的大颗粒(恒定速度或恒定能量驱动)。多分散性总是产生非高斯速度分布。根据驱动机制的不同,与分子气体相比,尾部可以是过度填充的,也可以是填充不足的。偏差主要是由于小颗粒。在自然冷却的情况下,衰变率连续地依赖于粒子的大小,而所有的分温都按照哈夫定律衰变。分析结果支持事件驱动的模拟一个大的,但离散的物种。

英文摘要:

A highly polydisperse granular gas is modeled by a continuous distribution of particle sizes, a, giving rise to a corresponding continuous temperature profile, T(a), which we compute approximately, generalizing previous results for binary or multicomponent mixtures. If the system is driven, it evolves towards a stationary temperature profile, which is discussed for several driving mechanisms in dependence on the variance of the size distribution. For a uniform distribution of sizes, the stationary temperature profile is nonuniform with either hot small particles (constant force driving) or hot large particles (constant velocity or constant energy driving). Polydispersity always gives rise to non-Gaussian velocity distributions. Depending on the driving mechanism the tails can be either overpopulated or underpopulated as compared to the molecular gas. The deviations are mainly due to small particles. In the case of free cooling the decay rate depends continuously on particle size, while all partial temperatures decay according to Haff's law. The analytical results are supported by event driven simulations for a large, but discrete number of species.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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