SGER: A novel computational approach to multiphase flow

摘要提案编号：CTS-0639446主要制造商： S.巴拉钱达尔研究所：佛罗里达大学：多相流的一种新的计算方法本项目的目的是研究分散的多相流在相之间的界面处，在变形，质量，动量和能量传递方面。 通常使用的相关性完全忽略了随机性质的界面耦合时，在宏观尺度上看。 界面耦合的统计表示，能够准确地占平均值和其他低阶矩将被追求。 随机方法将在颗粒湍流槽道流的背景下发展。直接数值模拟（DNS）的有限尺寸的颗粒在一个充分发展的湍流通道流的运动将被执行。 一系列的大规模模拟将考虑充分解决DNS的自由移动的颗粒在湍流通道流的分布。模拟将提供洞察中尺度机制，如局部优先积累，集群的形成和有限尺寸和有限雷诺数的颗粒的分散。模拟还将提供关于颗粒对载体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产生详细的多相壁湍流的三维时间依赖性结构，以及它如何不同于相应的单相行为。 这些模拟构成了计算科学和工程中的一个重大挑战问题，并将推进颗粒流计算模拟的最新技术。

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..