A Coupled Machine Learning and Lattice Boltzmann Method Approach for Immiscible Two-Phase Flows

A Coupled Machine Learning and Lattice Boltzmann Method Approach for Immiscible Two-Phase Flows

An innovative coupling numerical algorithm is proposed in the current paper, the front-tracking method–lattice Boltzmann method–machine learning (FTM-LBM-ML) method, to precisely capture fluid flow phase interfaces at the mesoscale and accurately simulate dynamic processes. This method combines the...

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Bibliographic Details
Main Authors: Peisheng Li, Hongsheng Zhou, Zhaoqing Ke, Shuting Zhao, Ying Zhang, Jiansheng Liu, Yuan Tian
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Mathematics
Subjects:
front-tracking method
lattice Boltzmann method
machine learning
Online Access:https://www.mdpi.com/2227-7390/12/1/109

Internet

https://www.mdpi.com/2227-7390/12/1/109

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