An analytical-based computational framework to study poroelastic column consolidation for solid compressibility at large deformations

This paper presents a computational framework based on a semi-analytical solution to predict the time-dependent behavior of fluid-saturated poroelastic media. The proposed method (PM) employs the Forward Euler Method to approximate time derivatives in the fluid continuity equation, transforming the governing partial differential equations (PDEs) into nonlinear ordinary differential equations (ODEs). These ODEs are then solved analytically to determine pore pressure and skeleton deformation at each iteration. A one-dimensional column consolidation with a compressible isotropic-homogeneous porous skeleton is used as a case study. The skeleton’s large deformations are described using the Hencky material model, incorporating a decoupled porosity-deformation-dependent free energy function. The accuracy of the results is validated against simulations performed using the FlexPDE commercial software, showing excellent agreement in predicting consolidation behavior and confirming the reliability of the method. By avoiding spatial discretization and variable conversion, the PM achieves rapid and efficient convergence. Furthermore, leveraging experimental poroelastic data, this study investigates the effects of solid matrix compressibility on fluid pressure, porosity changes, and skeleton stress during undrained, transient, and drained states, highlighting the advantages of the analytical-based approach.

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Publication Details

Journal
International Journal of Solids and Structures
Published
2025-05-24
DOI
https://doi.org/10.1016/j.ijsolstr.2025.113436
Primary Topic
Elasticity and Material Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

An analytical-based computational framework to study poroelastic column consolidation for solid compressibility at large deformations

Hamidreza Dehghani, Raimondo Penta, Ali Hassani, Mehdi Kazemian et al.
International Journal of Solids and Structures
Elasticity and Material Modeling
article

An analytical-based computational framework to study poroelastic column consolidation for solid compressibility at large deformations

Hamidreza Dehghani, Raimondo Penta, Ali Hassani, Mehdi Kazemian, Ali Moazemi Goudarzi
article en

Abstract

This paper presents a computational framework based on a semi-analytical solution to predict the time-dependent behavior of fluid-saturated poroelastic media. The proposed method (PM) employs the Forward Euler Method to approximate time derivatives in the fluid continuity equation, transforming the governing partial differential equations (PDEs) into nonlinear ordinary differential equations (ODEs). These ODEs are then solved analytically to determine pore pressure and skeleton deformation at each iteration. A one-dimensional column consolidation with a compressible isotropic-homogeneous porous skeleton is used as a case study. The skeleton’s large deformations are described using the Hencky material model, incorporating a decoupled porosity-deformation-dependent free energy function. The accuracy of the results is validated against simulations performed using the FlexPDE commercial software, showing excellent agreement in predicting consolidation behavior and confirming the reliability of the method. By avoiding spatial discretization and variable conversion, the PM achieves rapid and efficient convergence. Furthermore, leveraging experimental poroelastic data, this study investigates the effects of solid matrix compressibility on fluid pressure, porosity changes, and skeleton stress during undrained, transient, and drained states, highlighting the advantages of the analytical-based approach.

International Journal of Solids and StructuresVol. 320
Luxembourg Institute of Science and Technology (LU), University of Glasgow (GB), Babol Noshirvani University of Technology (IR)
Istituto Nazionale di Alta Matematica "Francesco Severi", Fonds National de la Recherche Luxembourg, Gruppo Nazionale per la Fisica Matematica, Engineering and Physical Sciences Research Council
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Openalex Percentile: Top 89%
Elasticity and Material Modeling
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