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...

書目詳細資料
Main Authors:	Mingchao Cai, Huipeng Gu, Pengxiang Hong, Jingzhi Li
格式:	Article
語言:	English
出版:	Frontiers Media S.A. 2023-08-01
叢編:	Frontiers in Applied Mathematics and Statistics
主題:	physics-informed neural networks the fixed-stress method Biot's model iterative algorithm separated networks
在線閱讀:	https://www.frontiersin.org/articles/10.3389/fams.2023.1206500/full

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