建筑模拟（英文版）2025，Vol.18Issue(4)：923-936,14.DOI:10.1007/s12273-025-1243-9
Accelerating urban street canyon wind flow predictions with deep learning method
Accelerating urban street canyon wind flow predictions with deep learning method
摘要
关键词
deep learning/geometry reading filter/large-eddy simulation/neural network model/urban wind flow prediction/urban street canyonsKey words
deep learning/geometry reading filter/large-eddy simulation/neural network model/urban wind flow prediction/urban street canyons引用本文复制引用
Wai-Chi Cheng,Tzung-May Fu..Accelerating urban street canyon wind flow predictions with deep learning method[J].建筑模拟（英文版）,2025,18(4):923-936,14.基金项目
This work was supported by the National Natural Science Foundation of China(42375193,42325504),the National Key Research and Development Program of China(2023YFC3706205),the Shenzhen Key Laboratory of Precision Measurement and Early Warning Technology for Urban Environmental Health Risks(ZDSYS20220606100604008),the Shenzhen Science and Technology Program(KQTD20210811090048025,JCYJ20220818100611024),the Guangdong Province Major Talent Program(2019CX01S188),and the High-level University Special Fund(G03050K001).Computational resources were supported by the Center for Computational Science and Engineering at the Southern University of Science and Technology. （42375193,42325504）
