Accurate CFD Modeling of Atmospheric Boundary Layer with an Emphasis on Wind-Induced Response of Buildings

大气边界层的精确 CFD 建模，重点关注建筑物的风致响应

• 批准号: 542513-2019
• 负责人: Aboshosha, Haitham
• 金额: $ 1.31万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=699576
• 关键词: Accurate; CFD; Modeling; Atmospheric; Boundary

Design codes have several limitations when it comes to wind load evaluation of buildings, which can be overcome by using Wind Tunnel WT testing or Computational Fluid Dynamic CFD simulations. Wind Tunnel testing typically requires a long lead time (several weeks/months) for the model construction and instrumentation, which is not the case for CFD if the parallel computational power is utilized. It is essential for an accurate CFD simulations to properly model the atmospheric Boundary Layer (BL). This proposal focuses on assessing and enhancing the accuracy of two of BL-generating methods in CFD (namely the fractal surface roughness method and the Consistent Random Discrete Flow Generation CDRFG method) to evaluate wind-induced loads and responses of tall buildings. First the two selected BL-generating methods will be incorporated on ANSYS FLUENT and Open Foam software available at Ryerson U and commonly used by RWDI. Then, several simulations will be conducted to find the parameters (and their ranges) leading to accurate simulation of BLs using empty domains. Once those parameters (and their ranges) are identified, the simulations will be extended to include buildings with and without surrounding configurations to evaluate wind-induced loads and responses, which will be validated against WT experiments at Ryerson and RWDI. The anticipated outcomes of this research project represent two accurate modeling methods for turbulent BLs using CFD. Those methods will enable RWDI to conduct wind engineering studies faster, at a lower cost while maintaining the accuracy. This will be of a great benefit to not only to RWDI, but also to Canada as the resulting methods will ultimately lead to more resilient buildings to wind-related disasters frequently driven by the climate change, which is a priority research area for the Canadian Government.

设计规范在建筑物风荷载评估方面存在一些限制，可以通过使用风洞小波变换测试或计算流体动力学 CFD 模拟来克服这些限制。风洞测试通常需要很长的准备时间（几周/几个月）来进行模型构建和仪器仪表，而如果利用并行计算能力，CFD 则不会出现这种情况。正确模拟大气边界层 (BL) 对于准确的 CFD 模拟至关重要。该提案的重点是评估和提高 CFD 中两种 BL 生成方法（即分形表面粗糙度方法和一致随机离散流生成 CDRFG 方法）的准确性，以评估高层建筑的风致荷载和响应。 首先，两种选定的 BL 生成方法将被纳入 Ryerson U 提供且 RWDI 常用的 ANSYS FLUENT 和 Open Foam 软件中。然后，将进行多次模拟来找到参数（及其范围），从而使用空域精确模拟 BL。一旦确定了这些参数（及其范围），模拟将扩展到包括有或没有周围配置的建筑物，以评估风引起的载荷和响应，这将根据瑞尔森和 RWDI 的 WT 实验进行验证。 该研究项目的预期结果代表了两种使用 CFD 的湍流 BL 精确建模方法。这些方法将使 RWDI 能够以更低的成本更快地进行风工程研究，同时保持准确性。这不仅对 RWDI 有利，对加拿大也有利，因为由此产生的方法最终将带来更具弹性的建筑，以应对气候变化经常引起的与风有关的灾害，这是加拿大政府的优先研究领域。