Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects

Rangel, Rafael L.; Franci, Alessandro; Oñate, Eugenio; Gimenez, Juan M.

doi:10.1016/j.compgeo.2024.106789

Computers and Geotechnics

2024

DOI: 10.1016/j.compgeo.2024.106789

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Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects

Rafael L. Rangel,

Alessandro Franci,

Eugenio Oñate

et al.

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2024

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Machine Learning Aided Modeling of Granular Materials: A Review

Wang,

Kumar,

Feng

et al. 2024

Arch Computat Methods Eng

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Artificial intelligence (AI) has become a buzzy word since Google’s AlphaGo beat a world champion in 2017. In the past five years, machine learning as a subset of the broader category of AI has obtained considerable attention in the research community of granular materials. This work offers a detailed review of the recent advances in machine learning-aided studies of granular materials from the particle-particle interaction at the grain level to the macroscopic simulations of granular flow. This work will start with the application of machine learning in the microscopic particle-particle interaction and associated contact models. Then, different neural networks for learning the constitutive behaviour of granular materials will be reviewed and compared. Finally, the macroscopic simulations of practical engineering or boundary value problems based on the combination of neural networks and numerical methods are discussed. We hope readers will have a clear idea of the development of machine learning-aided modelling of granular materials via this comprehensive review work.

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Machine Learning Aided Modeling of Granular Materials: A Review

Wang,

Kumar,

Feng

et al. 2024

Arch Computat Methods Eng

View full text Add to dashboard Cite

show abstract

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Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects

Cited by 1 publication

References 65 publications

Machine Learning Aided Modeling of Granular Materials: A Review

Machine Learning Aided Modeling of Granular Materials: A Review

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