Alfonso S. Teran, S. Agrawal, H. Naderian, J. Wong, Jie Song, O. Mercan, P. Kushner, Jamil Mardukhi, Xuebin Zhang
{"title":"气候变化对城市高层建筑风荷载影响的计算流程研究","authors":"Alfonso S. Teran, S. Agrawal, H. Naderian, J. Wong, Jie Song, O. Mercan, P. Kushner, Jamil Mardukhi, Xuebin Zhang","doi":"10.1080/07055900.2022.2061412","DOIUrl":null,"url":null,"abstract":"ABSTRACT Structures in the built environment that are serviceable under current climate conditions may experience problems in the coming decades as wind loads respond to anthropogenic climate change. Given the great uncertainty in the ability of current climate models to represent winds in the atmospheric boundary layer and the consequent uncertainty in the projection of future wind conditions, there is a need to formulate flexible adaptation strategies that mitigate the effects of climate change in urban regions. The present work thus proposes a multi-disciplinary workflow to investigate climate change-associated wind load effects on the built environment. As an application, projected, statistically downscaled surface wind information from global climate models is used to estimate future design wind speed for Toronto and Vancouver. CFD simulations are then performed on a building in downtown Toronto, under different projected wind scenarios. Wind loads on the building under different projected wind conditions are quantified and compared with the load associated with the National Building Code of Canada (NBCC) design wind speed. Using the proposed workflow, it was found that some climate models suggest reduced wind loads in the future (2071–2100) for buildings in Toronto, while others suggest the opposite. This cross-disciplinary workflow seeks to translate the range of projected effects of climate change into actionable knowledge useful for building design. This will deliver sustainability and resiliency-focused design, as well as retrofit recommendations for decision-makers.","PeriodicalId":55434,"journal":{"name":"Atmosphere-Ocean","volume":"60 1","pages":"124 - 140"},"PeriodicalIF":1.6000,"publicationDate":"2022-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Towards a Computational Workflow for Studying the Effects of Climate Change on Wind Loads on High-Rise Buildings in Urban Areas\",\"authors\":\"Alfonso S. Teran, S. Agrawal, H. Naderian, J. Wong, Jie Song, O. Mercan, P. Kushner, Jamil Mardukhi, Xuebin Zhang\",\"doi\":\"10.1080/07055900.2022.2061412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT Structures in the built environment that are serviceable under current climate conditions may experience problems in the coming decades as wind loads respond to anthropogenic climate change. Given the great uncertainty in the ability of current climate models to represent winds in the atmospheric boundary layer and the consequent uncertainty in the projection of future wind conditions, there is a need to formulate flexible adaptation strategies that mitigate the effects of climate change in urban regions. The present work thus proposes a multi-disciplinary workflow to investigate climate change-associated wind load effects on the built environment. As an application, projected, statistically downscaled surface wind information from global climate models is used to estimate future design wind speed for Toronto and Vancouver. CFD simulations are then performed on a building in downtown Toronto, under different projected wind scenarios. Wind loads on the building under different projected wind conditions are quantified and compared with the load associated with the National Building Code of Canada (NBCC) design wind speed. Using the proposed workflow, it was found that some climate models suggest reduced wind loads in the future (2071–2100) for buildings in Toronto, while others suggest the opposite. This cross-disciplinary workflow seeks to translate the range of projected effects of climate change into actionable knowledge useful for building design. 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Towards a Computational Workflow for Studying the Effects of Climate Change on Wind Loads on High-Rise Buildings in Urban Areas
ABSTRACT Structures in the built environment that are serviceable under current climate conditions may experience problems in the coming decades as wind loads respond to anthropogenic climate change. Given the great uncertainty in the ability of current climate models to represent winds in the atmospheric boundary layer and the consequent uncertainty in the projection of future wind conditions, there is a need to formulate flexible adaptation strategies that mitigate the effects of climate change in urban regions. The present work thus proposes a multi-disciplinary workflow to investigate climate change-associated wind load effects on the built environment. As an application, projected, statistically downscaled surface wind information from global climate models is used to estimate future design wind speed for Toronto and Vancouver. CFD simulations are then performed on a building in downtown Toronto, under different projected wind scenarios. Wind loads on the building under different projected wind conditions are quantified and compared with the load associated with the National Building Code of Canada (NBCC) design wind speed. Using the proposed workflow, it was found that some climate models suggest reduced wind loads in the future (2071–2100) for buildings in Toronto, while others suggest the opposite. This cross-disciplinary workflow seeks to translate the range of projected effects of climate change into actionable knowledge useful for building design. This will deliver sustainability and resiliency-focused design, as well as retrofit recommendations for decision-makers.
期刊介绍:
Atmosphere-Ocean is the principal scientific journal of the Canadian Meteorological and Oceanographic Society (CMOS). It contains results of original research, survey articles, notes and comments on published papers in all fields of the atmospheric, oceanographic and hydrological sciences. Arctic, coastal and mid- to high-latitude regions are areas of particular interest. Applied or fundamental research contributions in English or French on the following topics are welcomed:
climate and climatology;
observation technology, remote sensing;
forecasting, modelling, numerical methods;
physics, dynamics, chemistry, biogeochemistry;
boundary layers, pollution, aerosols;
circulation, cloud physics, hydrology, air-sea interactions;
waves, ice, energy exchange and related environmental topics.