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Application of techniques used in continuum computational fluiddynamics to the Boltzmann equation

机译:连续计算流体技术的应用玻尔兹曼方程的动力学

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Summary form only given. Detailed determinations of the electronvelocity distribution function are becoming more common due to thegreater availability of computational power. Some of the classicalproblems in ionized gas physics are found to be in need of suchanalysis. Generally, these solutions are derived from statisticaltechniques, such as Monte-Carlo, or from quasi-particle methods, such asPIC, and are essentially time-dependent methods which represent theconvective effects in a very “physical” way. In contrast,the continuum approaches to hyperbolic PDE solutions, which have astrong “mathematical” basis and have experienced significantadvances in recent years, have been difficult to apply to the Boltzmannequation. These methods have several important advantages such as theirability to resolve steep gradients, including discontinuous behavior,and their uniform accuracy across the domain due to theirnon-statistical nature. Furthermore, in situations where simultaneoussolution of several quantities is desired, and some are best describedin the continuum, it is convenient if the same solver can be used forall. Techniques for enabling the application of these methods to theBoltzmann equation will be described
机译:仅提供摘要表格。电子的详细测定 由于 更高的计算能力可用性。一些古典 发现电离气体物理学中的问题是需要这样的 分析。通常,这些解决方案来自统计 技术(例如蒙特卡洛)或准粒子方法(例如 PIC,并且本质上是时间相关的方法,代表了 对流效应是一种非常“物理”的方式。相比之下, 双曲PDE解的连续方法,具有 强大的“数学”基础并且经历了重大的 近年来的进步,已经很难应用于玻尔兹曼 方程。这些方法具有几个重要的优点,例如它们 解决陡峭梯度(包括不连续行为)的能力, 以及它们在整个域中的统一准确性 非统计性质。此外,在同时发生的情况下 希望有几个数量的解决方案,并且最好地描述一些 在连续体中,如果可以将相同的求解器用于 全部。能够将这些方法应用于计算机的技术 将描述玻尔兹曼方程

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