Reference number : GC-2017-Q4-01735, amendment number : , agreement type : G, recipient legal name : Tachie, Mark Francis (University of Manitoba)|Tachie, Mark Francis (Université du Manitoba), recipient country : CA, recipient province : nan, recipient city : Manitoba, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : There have been ever-growing economic and insured losses due to extreme weather over the past two decades._x000D_
This is related to population growth, population migration to large cities and climate change. The Institute for_x000D_
Catastrophic Loss Reduction (ICLR) is working to develop mitigation strategy with a particular focus on_x000D_
earthquakes, flooding, extreme wind and wildfire. This proposal relates to mitigating the effects of extreme_x000D_
wind, particularly, hurricanes and tornadoes. The primary challenge with mitigating wind loads in tornadoes is_x000D_
that building aerodynamics in tornadoes are largely unknown. The basic approach is to adopt the wind loads for_x000D_
'straight-line' winds (such as hurricanes), and apply a multiplication factor to adopt them for tornadoes. The_x000D_
challenge for this is to separate the effects of the swirling vortical structures associated with tornadoes from the_x000D_
rest of turbulence, which affects both straight-line winds in the atmospheric boundary layer and tornadoes._x000D_
The goal of this proposal is to better understand the role of turbulence, in support of ICLR's objective to define_x000D_
wind loads in tornadoes. More specifically, a time-resolved particle image velocimetry will be used to perform_x000D_
velocity measurements in the wake flow generated by three-dimensional surface-mounted bluff bodies_x000D_
immersed in deep turbulent boundary layers. The velocity data will be analyzed to develop scientific_x000D_
understanding of building aerodynamics, and potentially lead to the development of more reliable predictive_x000D_
models that will enable ICLR to develop more effective strategy for mitigating the effects of extreme wind,_x000D_
particularly, hurricanes and tornadoes. The results from this research will also help ICLR to define wind loads_x000D_
in tornadoes by defining the role of turbulence more precisely., program purpose french : There have been ever-growing economic and insured losses due to extreme weather over the past two decades._x000D_
This is related to population growth, population migration to large cities and climate change. The Institute for_x000D_
Catastrophic Loss Reduction (ICLR) is working to develop mitigation strategy with a particular focus on_x000D_
earthquakes, flooding, extreme wind and wildfire. This proposal relates to mitigating the effects of extreme_x000D_
wind, particularly, hurricanes and tornadoes. The primary challenge with mitigating wind loads in tornadoes is_x000D_
that building aerodynamics in tornadoes are largely unknown. The basic approach is to adopt the wind loads for_x000D_
'straight-line' winds (such as hurricanes), and apply a multiplication factor to adopt them for tornadoes. The_x000D_
challenge for this is to separate the effects of the swirling vortical structures associated with tornadoes from the_x000D_
rest of turbulence, which affects both straight-line winds in the atmospheric boundary layer and tornadoes._x000D_
The goal of this proposal is to better understand the role of turbulence, in support of ICLR's objective to define_x000D_
wind loads in tornadoes. More specifically, a time-resolved particle image velocimetry will be used to perform_x000D_
velocity measurements in the wake flow generated by three-dimensional surface-mounted bluff bodies_x000D_
immersed in deep turbulent boundary layers. The velocity data will be analyzed to develop scientific_x000D_
understanding of building aerodynamics, and potentially lead to the development of more reliable predictive_x000D_
models that will enable ICLR to develop more effective strategy for mitigating the effects of extreme wind,_x000D_
particularly, hurricanes and tornadoes. The results from this research will also help ICLR to define wind loads_x000D_
in tornadoes by defining the role of turbulence more precisely., agreement title english : Surface-mounted bluff bodies immersed in deep turbulent boundary layers, agreement title french : Surface-mounted bluff bodies immersed in deep turbulent boundary layers, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-02-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada