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: $ 1.6万
• 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: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=678573
• 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.

设计代码在建筑物的风负荷评估方面有几个限制，可以通过使用风隧道WT测试或计算流体动态CFD模拟来克服这些代码。风洞测试通常需要较长的交货时间（数周/月）才能进行模型构建和仪器，如果利用并行计算功率，则不利的情况下，CFD并非如此。精确的CFD模拟必须正确对大气边界层（BL）进行建模是必不可少的。该提案着重于评估和增强CFD中两种BLENERAINE方法的准确性（即分形表面粗糙度方法和一致的随机离散流量产生CDRFG方法），以评估高大建筑物的风诱导的载荷和响应。首先，这两种选定的BLENERARITANE方法将纳入Ryerson U的ANSYS Fluent和Open Foam软件，并由RWDI使用。然后，将进行几次模拟以找到参数（及其范围），从而导致使用空域精确模拟BLS。一旦确定了这些参数（及其范围），将扩展模拟，包括带有和没有周围配置的建筑物以评估风诱导的负载和响应，这将对Ryerson和RWDI的WT实验进行验证。该研究项目的预期结果代表了使用CFD进行湍流BLS的两种准确的建模方法。这些方法将使RWDI能够以较低的成本进行较快的风力工程研究，同时保持准确性。对于RWDI来说，这将是一个很大的好处，而且对加拿大也是如此的方法，最终将导致经常受到气候变化驱动的风向相关灾难，这是加拿大政府的优先研究领域，这是加拿大政府的优先研究领域。 。