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May 18, 2026Lobachevskii Journal of Mathematics0 citations

Multiscale Modeling for Darcy–Forchheimer–Brinkman Model

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DSD. A. Spiridonov

Key Points

  • This research aims to develop an efficient multiscale modeling method for the Darcy–Forchheimer–Brinkman model to accurately simulate flow in heterogeneous media.
  • Developed a mixed generalized multiscale finite element method (mixed GMsFEM) for model reduction.
  • Utilized local spectral decomposition to create multiscale basis functions in local domains.
  • Resolved nonlinearity using Picard iteration in a fine-grid approximation with mixed finite element method (FEM).
  • Achieved high accuracy in simulating nonlinear problems within a two-dimensional heterogeneous domain.
  • Demonstrated weak dependence of accuracy on the magnitude of nonlinearity.
  • Validated the effectiveness of the proposed mixed GMsFEM approach in handling high-contrast coefficients.

Abstract

This research presents a mixed generalized multiscale finite element method (mixed GMsFEM) algorithm for the Darcy–Forchheimer–Brinkman model in heterogeneous media. This model governs nonlinear Darcy flow with significant inertial effects at high flow velocities. The fine-grid approximation utilizes a mixed finite element method (FEM), with nonlinearity resolved via Picard iteration. The proposed model reduction approach, mixed GMsFEM, employs local spectral decomposition to construct multiscale basis functions within each local domain using a snapshot space. These basis functions effectively capture the influence of high-contrast coefficients. Numerical results for a two-dimensional heterogeneous domain demonstrate the method’s high accuracy for nonlinear problems. The investigation reveals that accuracy is weakly dependent on the magnitude of the nonlinearity.

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Cite This Study

D. A. Spiridonov (2026) studied this question.

synapsesocial.com/papers/6a0aac2b5ba8ef6d83b6fc03https://doi.org/10.1134/s1995080225614341
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