A reduced order model for turbulent flows in the urban environment using machine learning

Building and Environment - Tập 148 - Trang 323-337 - 2019
D. Xiao1,2,3, C.E. Heaney1, L. Mottet1,4, F. Fang1,3, W. Lin5, I.M. Navon6, Y. Guo3, O.K. Matar7, A.G. Robins5, C.C. Pain1,3
1Applied Modelling and Computation Group, Department of Earth Science and Engineering, Imperial College London, Prince Consort Road, London, SW7 2BP, UK
2ZCCE College of Engineering, Swansea University, Bay Campus, Fabian Way, Swansea, SA1 8EN, UK
3Data Assimilation Lab, Data Science Institute, Imperial College London, Prince Consort Road, London, SW7 2BP, UK
4Department of Architecture, University of Cambridge, 1-5 Scroope Terrace, Trumpington Street, Cambridge, CB2 IPX, UK
5Department of Mechanical Engineering Sciences, University of Surrey, Guildford, UK
6Department of Scientific Computing, Florida State University, Tallahassee, FL 32306-4120, USA
7Department of Chemical Engineering, Imperial College, London, UK

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