An Eulerian-Lagrangian Model for the Prediction of Ice Hazards in Shallow Waters

预测浅水冰灾的欧拉-拉格朗日模型

• 批准号: 8707087
• 负责人: Michael Bruno
• 金额: --
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-06-01 至 1989-09-01
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8707087&HistoricalAwards=false
• 关键词: Eulerian; Lagrangian; Model; Prediction; Ice

The objective of this work is to develop a short-term (in the order of days) ice hazard warning system for shallow, partially ice-covered waters. This system will vastly improve the present capability of accurately predicting the movement of individual ice floes, while retaining sufficient numerical efficiency so as to facilitate its use on small, e.g., shipborne, computers. The formulation of this system will couple the ice floe motion and the underlying water circulation, and will apply the Eulerian-Lagrangian concept of transport modelling to ice drift prediction. A detailed investigation of the range and variation of the drag coefficients at the ice surface and bottom will be carried out as well, so as to establish guidelines for estimating these coefficients under a variety of environmental conditions and for a range of ice floe characteristics.

这项工作的目标是制定一个短期的（在 冰灾预警系统， 冰封的沃茨。 该系统将极大地改善目前的状况 准确预测个体运动的能力 浮冰，同时保持足够的数值效率， 为了便于其在小的，例如，船载电脑 该系统的建立将浮冰的运动耦合起来， 和底层的水循环，并将适用于 冰漂输运模拟的欧拉-拉格朗日概念 预测. 详细调查了范围和变化 冰面和冰底的阻力系数为 也进行了，以建立估计准则， 这些系数在各种环境条件下 以及一系列浮冰特性。