Urban wind field prediction using Fourier Neural Operators across different wind directions and citiesOA
Urban wind field prediction using Fourier Neural Operators across different wind directions and cities
Cheng Chen;Geng Tian;Shaoxiang Qin;Senwen Yang;Dingyang Geng;Dongxue Zhan;Jinqiu Yang;David Vidal;Liangzhu(Leon)Wang
Concordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,Canada||McGill University,School of Computer Science,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,CanadaPolytechnique Montreal,Department of Mechanical Engineering,Montreal,CanadaConcordia University,Department of Building,Civil and Environmental Engineering,and Department of Computer Science and Software Engineering,Montreal,Canada
computational fluid dynamicsFNOmicroclimateurban wind field predictionAImachine learningsigned distance function(SDF)
computational fluid dynamicsFNOmicroclimateurban wind field predictionAImachine learningsigned distance function(SDF)
《建筑模拟（英文版）》 2026 (1)
271-285,15
The research is made possible by the general support from the Consortium for Research and Innovation in Aerospace in Québec(CRIAQ)through the project"Multi-scale Aerodynamic Modeling of Helicopters/UAV in Urban Environments"[#051811],the Natural Sciences and Engineering Research Council(NSERC)of Canada through the Discovery Grants Program[#RGPIN-2024-06297],and the SEED project Creating Electrified and Decarbonized Healthy Urban Microclimate around Building Clusters through Climate-Resilient Solutions under the Canada First Research Excellence Fund(Volt-Age).
评论