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...

Täydet tiedot

Bibliografiset tiedot
Päätekijät: Mingchao Cai, Huipeng Gu, Pengxiang Hong, Jingzhi Li
Aineistotyyppi: Artikkeli
Kieli:English
Julkaistu: Frontiers Media S.A. 2023-08-01
Sarja:Frontiers in Applied Mathematics and Statistics
Aiheet:
physics-informed neural networks
the fixed-stress method
Biot's model
iterative algorithm
separated networks
Linkit:https://www.frontiersin.org/articles/10.3389/fams.2023.1206500/full

Internet

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

Samankaltaisia teoksia