Energetic formulation of large-deformation poroelasticity

被引:4
|
作者
Karimi, Mina [1 ]
Massoudi, Mehrdad [2 ]
Walkington, Noel [3 ]
Pozzi, Matteo [1 ]
Dayal, Kaushik [1 ,3 ,4 ]
机构
[1] Carnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh, PA 15213 USA
[2] Natl Energy Technol Lab, Pittsburgh, PA USA
[3] Carnegie Mellon Univ, Dept Math Sci, Ctr Nonlinear Anal, Pittsburgh, PA 15213 USA
[4] Carnegie Mellon Univ, Dept Mech Engn, Pittsburgh, PA 15213 USA
基金
美国国家科学基金会;
关键词
poromechanics; unsaturated media; variational approach; TWINNING REGULARIZED INTERFACES; POROUS-MEDIA MODELS; PHASE-FIELD MODEL; MATHEMATICAL FRAMEWORK; STRUCTURAL TRANSFORMATIONS; TRANSPARENT PRESCRIPTION; STRAIN LOCALIZATION; COMPLEX KINETICS; UNSATURATED FLOW; MIXTURE THEORY;
D O I
10.1002/nag.3326
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
The modeling of coupled fluid transport and deformation in a porous medium is essential to predict the various geomechanical process such as CO2 sequestration, hydraulic fracturing, and so on. Current applications of interest, for instance, that include fracturing or damage of the solid phase, require a nonlinear description of the large deformations that can occur. This paper presents a variational energy-based continuum mechanics framework to model large-deformation poroelasticity. The approach begins from the total free energy density that is additively composed of the free energy of the components. A variational procedure then provides the balance of momentum, fluid transport balance, and pressure relations. A numerical approach based on finite elements is applied to analyze the behavior of saturated and unsaturated porous media using a nonlinear constitutive model for the solid skeleton. Examples studied include the Terzaghi and Mandel problems; a gas-liquid phase-changing fluid; multiple immiscible gases; and unsaturated systems where we model injection of fluid into soil. The proposed variational approach can potentially have advantages for numerical methods as well as for combining with data-driven models in a Bayesian framework.
引用
收藏
页码:910 / 932
页数:23
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