Development of higher order urban computational modelling procedures, data comparison and calibration

开发高阶城市计算建模程序、数据比较和校准

• 批准号: 490682-2015
• 负责人: Sullivan, Pierre
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586576
• 关键词: Development; higher; order; urban; computational

There is much information to be obtained from experimental methods; however, these suffer from limitations including the inability to perform full-scale experiments in advance of building construction or to measure all points simultaneously within an existing structure. Computational Fluid Dynamics (CFD) allows full-scale and whole-field flow information at a cost of computational power. The difficulty is that to date, large flow field models have depended on Reynolds-averaged methods (RANS) based model. Large-Eddy Simulation, or LES, has become the method of choice for computationally-intensive simulations resolved to the necessary scales. Traditional RANS, although useful, require significant assumptions that compromise the fidelity of the flow physics obtained. Direct Numerical Simulation (DNS) which resolves all the scales remains a prohibitive method due to its computational requirements. LES bridges between RANS and DNS, where the energetic large scales are resolved and computed directly whereas the smaller more universal scales are modelled. By modeling the subgrid scales within the inertial subrange, it is possible to extract high-fidelity flow information that can be used to improve local conditions.

从实验方法中可以获得很多信息;然而，这些方法受到限制，包括无法在建筑施工之前进行全尺寸实验或在现有结构内同时测量所有点。计算流体动力学（CFD）允许以计算能力为代价获得全尺寸和全场的流动信息。困难在于，迄今为止，大型流场模型依赖于基于雷诺平均方法（RANS）的模型。大涡模拟，或LES，已成为计算密集型模拟解决必要的规模的选择方法。传统的RANS，虽然有用，需要重大的假设，妥协的流动物理的保真度获得。直接数值模拟（DNS）解决所有的尺度仍然是一个禁止的方法，由于其计算要求。LES在RANS和DNS之间架起了桥梁， 大尺度被直接解析和计算，而较小的更通用的尺度被建模。通过对惯性子范围内的子网格尺度进行建模，可以提取可用于改善局部条件的高保真流动信息。