SGER: A novel computational approach to multiphase flow

ABSTRACTPROPOSAL没有。项目描述：一种新的多相流计算方法。本项目的目的是研究分散多相流在两相界面处的变形、质量、动量和能量传递。在宏观尺度上，常用的相关性完全忽略了界面耦合的随机性。将追求一种能够准确地计算平均值和其他低阶矩的界面耦合的统计表示。随机方法将在颗粒湍流通道流动的背景下发展。直接数值模拟（DNS）的有限大小的颗粒运动在一个充分发展的湍流通道流动将进行。一系列大规模的模拟将考虑湍流通道流动中自由运动粒子分布的完全解析的DNS。模拟将为有限尺寸和有限雷诺数粒子的局部优先积累、团簇形成和分散等中尺度机制提供洞见。模拟还将提供粒子对载流子相湍流的反向效应的详细统计信息。从这个意义上说，这些模拟可以潜在地详细了解多相壁湍流的三维时间相关结构，以及它与相应的单相行为的区别。这些模拟在计算科学和工程中构成了一个巨大的挑战问题，并将推动颗粒流动的计算模拟的艺术状态。

ABSTRACTPROPOSAL NO.: CTS-0639446PRINCIPAL INVESTIGATORS: S. BALACHANDARINSTITUTION: UNIVERSITY OF FLORIDASGER: A novel computational approach to multiphase flow The objective of this project is to study dispersed multiphase flow is at the interface between the phases, in terms of deformation, mass, momentum and energy transfer. Commonly used correlations completely ignore the stochastic nature of the interfacial coupling when viewed at the macroscale. A statistical representation of interfacial coupling that is capable of accurately accounting for the mean and other lower order moments will be pursued. The stochastic approach will be developed in the context of particulate turbulent channel flow. Direct numerical simulations (DNS) of finite-sized particles in motion in a fully developed turbulent channel flow will be performed. A sequence of large scale simulations will consider fully resolved DNS of a distribution of freely moving particles in a turbulent channel flow. The simulations will provide insight into mesoscale mechanisms such as local preferential accumulation, cluster formation and dispersion of particles of finite-size and finite Reynolds number. The simulations will also provide detailed statistical information on the back effect of particles on carrier phase turbulence. In this sense these simulations can potentially yield a detailed look at the three-dimensional time-dependent structure of multiphase wall turbulence and how it differs from corresponding single phase behavior. These simulations constitute a grand challenge problem in computational science and engineering and will advance the state of the art in computational simulations of particulate flows..