A machine learning based-method to generate random circle-packed porous media with the desired porosity and permeability

Li，Jianhui1,2; Tang，Tingting1,3; Yu，Shimin1; Yu，Peng1,3

2024-03-01

10.1016/j.advwatres.2024.104631

Advances in Water Resources   影响因子和分区

0309-1708

The generation of digital porous media facilitates the fabrication of artificial porous media and the analysis of their properties. The past random digital porous medium generation methods are unable to generate a porous medium with a specified permeability. In this work, a new method is proposed to generate a random circle-packed digital porous medium with a specified porosity and permeability. Firstly, the process of generating the random circle-packed digital porous medium with a specified porosity is detailed. Secondly, the permeability of the digital porous medium is calculated by the multi-relaxation time lattice Boltzmann method. A total of 3,000 digital porous medium samples are generated, and their microstructure data and permeabilities are prepared for the training of a convolutional neural network (CNN) model, which is then applied to effectively predict the permeability of a digital porous medium. Finally, our method is elaborated and the choice of target permeability in this method is discussed. Our approach has the potential to be applied to the generation of other types of porous media.

Circle-packed Convolutional neural network Lattice Boltzmann method Machine learning Permeability Porous medium

SCI ; EI

英语

第一 ; 通讯

ENGINEERING

2-s2.0-85185190168

Scopus

1.Guangdong Provincial Key Laboratory of Turbulence Research and Applications,Department of Mechanics and Aerospace Engineering,Southern University of Science and Technology,Shenzhen,518055,China
2.Guangxi Academy of Science,Nanning,530007,China
3.Center for Complex Flows and Soft Matter Research,Southern University of Science and Technology,Shenzhen,518055,China

Li，Jianhui,Tang，Tingting,Yu，Shimin,et al. A machine learning based-method to generate random circle-packed porous media with the desired porosity and permeability[J]. Advances in Water Resources,2024,185.

Li，Jianhui,Tang，Tingting,Yu，Shimin,&Yu，Peng.(2024).A machine learning based-method to generate random circle-packed porous media with the desired porosity and permeability.Advances in Water Resources,185.

Li，Jianhui,et al."A machine learning based-method to generate random circle-packed porous media with the desired porosity and permeability".Advances in Water Resources 185(2024).