A domain decomposition non-intrusive reduced order model for turbulent flows

D. Xiao,C.E. Heaney,F. Fang,L. Mottet,R. Hu,D.A. Bistrian,E. Aristodemou,I.M. Navon,C.C. Pain

Computers & Fluids（2019）

Cited 44|Views47

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Abstract

•A first Domain Decomposition (DD) method based on nodes weighting for the NIROM.•The DD uses a weighting constraint to achieve an equal accuracy in each subdomain.•The DD minimises the dynamic activity between subdomains.•The accuracy of the new DD based NIROM is improved compared to NIROM.•This method is validated using a realistic turbulent flow case at LSBU.

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Key words

Non-intrusive reduced order modelling,Domain decomposition,Machine learning,Gaussian process regression,Urban flows,Turbulent flows,Finite element method

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