Construction of reduced-order models for fluid flows using deep feedforward neural networks

Construction of reduced-order models for fluid flows using deep feedforward neural networks

Hugo F. S. Lui, William R. Wolf

ARTIGO

Inglês

We present a numerical methodology for construction of reduced-order models (ROMs) of fluid flows through the combination of flow modal decomposition and regression analysis. Spectral proper orthogonal decomposition is applied to reduce the dimensionality of the model and, at the same time, filter...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP

Fechado

Construction of reduced-order models for fluid flows using deep feedforward neural networks

Hugo F. S. Lui, William R. Wolf


										

Construction of reduced-order models for fluid flows using deep feedforward neural networks

Hugo F. S. Lui, William R. Wolf

    Fontes

    Journal of fluid mechanics

    Vol. 872 (Aug., 2019), p. 963-994