A combination of physics-informed neural networks with the fixed-stress splitting iteration for solving Biot's model

A combination of physics-informed neural networks with the fixed-stress splitting iteration for solving Biot's model

IntroductionBiot's consolidation model in poroelasticity describes the interaction between the fluid and the deformable porous structure. Based on the fixed-stress splitting iterative method proposed by Mikelic et al. (Computat Geosci, 2013), we present a network approach to solve Biot's c...

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Bibliografische gegevens
Hoofdauteurs: Mingchao Cai, Huipeng Gu, Pengxiang Hong, Jingzhi Li
Formaat: Artikel
Taal:English
Gepubliceerd in: Frontiers Media S.A. 2023-08-01
Reeks:Frontiers in Applied Mathematics and Statistics
Onderwerpen:
physics-informed neural networks
the fixed-stress method
Biot's model
iterative algorithm
separated networks
Online toegang:https://www.frontiersin.org/articles/10.3389/fams.2023.1206500/full

Internet

https://www.frontiersin.org/articles/10.3389/fams.2023.1206500/full

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