Data-driven subgrid scale modelling with neural networks

An exploratory study is performed to assess the proficiency of the neural networks in prediction of the non-linear mapping of the closure terms of LES and the coarse grid components in the flow, with \textit{a priori} assumptions. Two distinct frameworks of convolutional neural networks are built to...

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Detalhes bibliográficos
Autor principal: Gangu,Vaishnavi
Outros Autores: Ng Bing Feng
Formato: Thesis-Master by Coursework
Idioma:English
Publicado em: Nanyang Technological University 2020
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/137038