A Data-Driven Reduced Order Modeling for Fluid Flow Analysis Based on Series Forecasting Intelligent Algorithm

A Data-Driven Reduced Order Modeling for Fluid Flow Analysis Based on Series Forecasting Intelligent Algorithm

In this work, we propose a data-driven reduced-order model (ROM) for high dimensional flow fields by combining flow modal decomposition and multiple regression. Singular value decomposition-based (SVD-based) proper orthogonal decomposition (POD) is employed to extract principal spatial modes represe...

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Bibliographic Details
Main Authors: Li Xu, Guanhao Zhou, Fengfeng Zhao, Zhaoliang Guo, Kaijun Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Reduced order modeling
series forecasting
proper orthogonal decomposition
deep learning
neural network
Online Access:https://ieeexplore.ieee.org/document/9780157/

Internet

https://ieeexplore.ieee.org/document/9780157/

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