Analysis of Dynamic Problems in Fully Saturated Porous Media Using an Embedded Velocity Integration Formulation With an Adaptive Runge–Kutta Method

ABSTRACT This contribution presents a dynamic binary Theory of Porous Media (TPM) model using an embedded velocity integration (EVI) formulation. The inclusion of dynamic effects into a TPM model leads to an increase in the number of unknown quantities and may also limit the choice of fitting time integration methods. By switching to a velocity formulation the amount of unknown quantities is kept to a minimum and the necessity of a time integration scheme being able to produce a second material time derivative is avoided. The used EVI formulation was verified and its advantage concerning computational time was shown by a comparison to a classic approach by Diebels and Ehlers. Both approaches were simulated with an adaptive, embedded, stiffly accurate, explicit, singly, diagonally implicit Runge–Kutta (saESDIRK) time integration method to decrease the computational time even more.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2024-11-22
DOI
https://doi.org/10.1002/nme.7610
Citations
2
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.75

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article

Analysis of Dynamic Problems in Fully Saturated Porous Media Using an Embedded Velocity Integration Formulation With an Adaptive Runge–Kutta Method

Alexander Schwarz, Joachim Bluhm, J. Sunten, Jörg Schröder
2 citations
International Journal for Numerical Methods in Engineering
Advanced Numerical Methods in Computational Mathematics
0.75
article

Analysis of Dynamic Problems in Fully Saturated Porous Media Using an Embedded Velocity Integration Formulation With an Adaptive Runge–Kutta Method

Alexander Schwarz, Joachim Bluhm, J. Sunten, Jörg Schröder
article en
2 citations

Abstract

ABSTRACT This contribution presents a dynamic binary Theory of Porous Media (TPM) model using an embedded velocity integration (EVI) formulation. The inclusion of dynamic effects into a TPM model leads to an increase in the number of unknown quantities and may also limit the choice of fitting time integration methods. By switching to a velocity formulation the amount of unknown quantities is kept to a minimum and the necessity of a time integration scheme being able to produce a second material time derivative is avoided. The used EVI formulation was verified and its advantage concerning computational time was shown by a comparison to a classic approach by Diebels and Ehlers. Both approaches were simulated with an adaptive, embedded, stiffly accurate, explicit, singly, diagonally implicit Runge–Kutta (saESDIRK) time integration method to decrease the computational time even more.

International Journal for Numerical Methods in EngineeringVol. 126(1)
University of Duisburg-Essen (DE)
Deutsche Forschungsgemeinschaft
Reduced inequalities
Openalex Percentile: Top 31%
Advanced Numerical Methods in Computational Mathematics
0.75
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