Flow modal decomposition and deep neural networks for the construction of reduced order models of compressible flows

Flow modal decomposition and deep neural networks for the construction of reduced order models of compressible flows

Hugo Lui, William Wolf

ARTIGO

Inglês

In this work, we present a numerical methodology for construction of reduced order models of compressible flows which combines flow modal decomposition via proper orthogonal decomposition and regression analysis using deep feedforward neural networks. The framework is implemented in the context of...

CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ

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

Fechado

Flow modal decomposition and deep neural networks for the construction of reduced order models of compressible flows

Hugo Lui, William Wolf


										

Flow modal decomposition and deep neural networks for the construction of reduced order models of compressible flows

Hugo Lui, William Wolf

    Fontes

    AIAA Scitech 2019 Forum, meeting paper

    (Jan., 2019), n. art. 225819