Novel computational and experimental wind engineering approaches for community level performance assessment

用于社区级绩效评估的新型计算和实验风工程方法

• 批准号: RGPIN-2018-05454
• 负责人: Bitsuamlak, Girma
• 金额: $ 3.79万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 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=713691
• 关键词: Novel; computational; experimental; wind; engineering

Canada's diverse geography and climate exposes our communities to wind hazards, such as tornadoes and hurricanes. This is further aggravated due to aging infrastructure, population growth and climate change. To maintain the safety and prosperity of our communities, it is vital to develop a comprehensive framework to assess and mitigate the impacts of extreme climate. In this research program novel computer models and large scale experimental approaches will be developed to assess the wind performance of buildings at a community level. This approach is unique as it considers aerodynamics for progressive failure and the interdependence of cladding, structural systems, individual buildings, and neighborhoods. To achieve these goals the following three research objectives are proposed: (1) Computer and experimental wind flow modeling and visualization: This objective proposes novel developments at pre-processing, system modeling and post processing stages. At the pre-processing stages, generation of three-dimensional building layouts in cities assisted with various remote sensing sensors installed on an unmanned air vehicle (UAV) and those obtained from satellites will be automated. At the system modeling stage, detail computer and experimental based methods for modeling turbulent wind (and wind-driven-rain) and its interaction with buildings will be developed. At post-processing level, user friendly data analysis/mining and visualizations will be developed. (2) Progressive aerodynamics and hydrodynamics for buildings and neighborhoods: Here, the computer models developed in (1) will be integrated with building information modeling (BIM) at various levels of development. Since the BIM model will consist of all the parts of building, it is possible to model damage states in detail. In parallel, new experimental testing protocols enabled by emerging 3D printing technologies and large-scale wind testing facilities will be developed for validation. (3) Non-linear aeroelastic characterization for high-rise buildings: Current tall building design for wind only considers linear elastic capacity of structural systems. However, tall buildings can be subjected to loads beyond design capacity during hurricane and tornado events; as a result local plastic deformations may occur. The impact of these types of plastic deformations are unknown. In this objective novel experimental methods for non-linear aeroelastic characterization will be developed assisted with state-of-the-art 3D printers. The insurance, Architectural and Engineering (As leadership in risk mitigation technology.

加拿大多样化的地理和气候使我们的社区面临龙卷风和飓风等风危害。由于基础设施，人口增长和气候变化，这进一步加剧了。为了维持我们社区的安全和繁荣，建立一个综合框架来评估和减轻极端气候的影响至关重要。在该研究计划中，将开发出新的计算机模型和大规模实验方法，以评估社区层面的建筑物的风能。这种方法是独一无二的，因为它考虑了渐进式失败以及覆层，结构系统，各个建筑物和社区的相互依赖性的空气动力学。 为了实现这些目标，提出了以下三个研究目标： （1）计算机和实验风流建模和可视化：该目标在预处理，系统建模和后处理阶段提出了新的发展。在预处理阶段，在城市中生成三维建筑布局，该布局辅助了安装在无人机汽车（UAV）上的各种遥感传感器（UAV）上的各种遥感传感器，并且从卫星上获得的遥控传感器将是自动化的。在系统建模阶段，将开发用于建模湍流风（和风驱动林）及其与建筑物的相互作用的细节和实验方法。在后处理级别，将开发用户友好的数据分析/挖掘和可视化。 （2）建筑物和社区的渐进空气动力学和流体力学：在这里，（1）中开发的计算机模型将与各种开发水平的建筑信息建模（BIM）集成在一起。由于BIM模型将由建筑物的所有部分组成，因此可以详细建模损害状态。同时，通过新兴的3D打印技术和大规模风测试设施启用了新的实验测试协议，以验证。 （3）高层建筑物的非线性航空弹性表征：当前风的高建筑物设计仅考虑结构系统的线性弹性容量。但是，在飓风和龙卷风事件期间，高大的建筑物可以承受超出设计能力的负载。结果可能会发生局部塑性变形。这些类型的塑性变形的影响尚不清楚。在这种客观的新型实验方法中，将开发针对最先进的3D打印机的辅助进行非线性气动弹性表征。 保险，建筑和工程（作为降低风险技术的领导力。