Scientific Computing Research Environment for the Mathematical Sciences (SCREMS)

数学科学科学计算研究环境 (SCREMS)

• 批准号: 0322852
• 负责人: Traian Iliescu
• 金额: $ 10.77万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0322852&HistoricalAwards=false
• 关键词: Scientific; Computing; Research; Environment; Mathematical

ABSTRACTPI: Traian IliescuProposal: 0322852Scientific computing equipment is being requested for rapid solution of large eddy simulation (LES) models. In particular, the investigators study improved boundary conditions for complex engineering flows (one of the main hurdles in the development of LES). Current models suffer from failure to correctly capture subfilter-scale motion in the regions where boundary layer theory is not valid such as recirculation, separated flows, etc. The initial approach is to use approximate deconvolution methods for partial recovery of subfilter scale information. Additionally, the investigators intend to study the role LES may play in the development of reduced-order modeling for state estimation in feedback control. The ability for LES to compute large scale structures efficiently and accurately could be important for the real-time state estimation required for most flow control applications.The investigators intend to develop a scientific computing platform for addressing a number of modeling issues (such as appropriate boundary conditions and convolution kernels) for general three-dimensional turbulent flows. More mathematically sound models will lead to better understanding of flow phenomena such as density currents believed to have a significant influence on global ocean models. Better models are also important for atmospheric models and other geophysical flows. Furthermore, we intend to use this computational platform to address a number of practical optimization and control issues such as the optimal placement of control actuators and flow sensors, and the construction of fast (i.e. near real-time) reduced-order models for fluid systems.

摘要：大涡模拟（LES）模型的快速求解需要科学的计算设备。特别是，研究人员研究了复杂工程流程的改进边界条件（LES发展的主要障碍之一）。在边界层理论不成立的区域，如再循环、分离流等，目前的模型无法正确捕捉子滤波尺度运动。最初的方法是使用近似反卷积方法对子滤波尺度信息进行部分恢复。此外，研究人员打算研究LES在反馈控制中状态估计的降阶建模发展中的作用。LES高效、准确地计算大规模结构的能力对于大多数流量控制应用所需的实时状态估计非常重要。研究人员打算开发一个科学的计算平台，用于解决一般三维湍流的一些建模问题（如适当的边界条件和卷积核）。更多数学上合理的模型将有助于更好地理解诸如密度流之类的流动现象，据信密度流对全球海洋模型有重大影响。更好的模型对大气模型和其他地球物理流也很重要。此外，我们打算使用这个计算平台来解决一些实际的优化和控制问题，如控制执行器和流量传感器的最佳位置，以及流体系统的快速（即近实时）降阶模型的构建。