KDI: Direct Numerical Simulation and Modeling of Solid-Liquid Flows

KDI：固液流动的直接数值模拟和建模

• 批准号: 9873236
• 负责人: Daniel Joseph
• 金额: $ 227万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-15 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9873236&HistoricalAwards=false
• 关键词: KDI; Direct; Numerical; Simulation; Modeling

9873236Daniel Joseph & Yousef SaadThe purpose of this project is to develop parallel algorithms to treat a class of multiscale problems associated with solid particle dynamics in liquids. The focus is on full three-dimensional direct numerical simulation of the interactions of sufficiently large number of particles, thousands of particles, so that collective behavior might be inferred. This builds upon the previous research supported under the NSF-HPCC Grand Challenge Group Award where two-dimensional simulation had been successfully accomplished.The particle movers algorithm uses a combined weak formulation in which the fluid and particle equations of motion are combined into one single equation set in which the interaction forces between the particles and fluid cancel, circumventing the need for explicit calculation of forces. Extension to three-dimensions as well as increasing the number of particles in order to obtain reliable sample size, requires a major overhaul of preconditions and solvers which will define new directions for computational fluid mechanics.The multiscale phenomena addressed here are fundamental to the chemical process industry and oil exploration and recovery. Therefore, special considerations will be given to present the simulation results into forms which can be understood and used by industry. For example, collaboration with STIM-LAB a group of industrial partners in the oil and gas will be strengthened to develop a 3D design software package based on the research conducted under NSF support.

9873236 Daniel Joseph Yousef Saad该项目的目的是开发并行算法来处理与液体中固体颗粒动力学相关的一类多尺度问题。 重点是充分的三维直接数值模拟的相互作用，足够大的粒子，成千上万的粒子，使集体行为可能被推断。 这是在NSF-HPCC Grand Challenge Group Award支持的先前研究的基础上建立的，该研究成功完成了二维模拟。粒子移动器算法使用组合弱公式，将流体和粒子的运动方程组合成一个单一的方程组，其中粒子和流体之间的相互作用力相互抵消，避免了显式计算力的需要。 扩展到三维以及增加粒子的数量，以获得可靠的样本大小，需要一个重大的大修的前提条件和求解器，这将定义新的方向计算流体mechanism.The多尺度现象解决这里是根本的化学加工工业和石油勘探和回收。 因此，将特别考虑将模拟结果呈现为工业界可以理解和使用的形式。 例如，将加强与石油和天然气行业合作伙伴STIM-LAB的合作，以在NSF支持下进行的研究为基础开发3D设计软件包。