"Filtering Techniques For Large Scale Turbulent Flow Simulation"

“大规模湍流模拟的过滤技术”

• 批准号: 8611631
• 负责人: Donald Harleman
• 金额: --
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1986
• 资助国家: 美国
• 起止时间: 1986-05-01 至 1987-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8611631&HistoricalAwards=false
• 关键词: Filtering; Techniques; Large; Scale; Turbulent

This research will model large and complex turbulent flows such as bays using a temporal and spatial filtering approach. This involves certain arbitrary ad hoc assumptions. Their use would in all likelihood be considered unscientific by the peer review community; the intent, however, is to test an intuitive, only party verified, expectation that the proposed method is highly insensitive to these input assumptions, and that calibration of the method from other, much simpler flows, would therefore validate their application to a much wider range of conditions for which verification data will be either extremely sparse or even absent. Such conditions are typical of large, shallow waters whose characteristics must be modeled ffor a variety of civil/coastal engineering applications.

这项研究将模拟大型和复杂的湍流，如海湾 使用时间和空间滤波方法。 这涉及到某些 武断的特别假设。 它们的使用很可能是 被同行评审界认为是不科学的;意图， 然而，它是为了测试一个直观、只有当事人验证的期望， 所提出的方法对这些输入假设高度不敏感， 以及从其他更简单的流程中校准该方法， 因此，将验证其适用于更广泛的范围， 核查数据要么极其稀少， 甚至缺席。 这种情况是大而浅的沃茨的典型情况 其特性必须为各种民用/沿海 工程应用