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Data: Refinement of a Poroelastic Model for Zero Porosity: Finite Element Implementation and Investigation of Fluid Mechanics in the Perivascular Space

In conventional formulations of poroelasticity, when the porosity approaches zero or vanishes in some parts of the poroelastic domain, if only temporarily, the governing equations degenerate to those for the solid phase thereby inhibiting a suitable determination of the fluid velocity field. To address this challenge, we reformulated a poroelastic model based on mixture theory to accommodate scenarios with zero porosity. We verified our model using the method of manufactured solutions and demonstrated its ability to handle extreme conditions in a sample test problem. As an application of our framework, we investigated peristaltic flow in the perivascular space of a penetrating arteriole in brain. Our analysis revealed that some literature-suggested parameters can drive the model to predict extreme non-physiological conditions. We further demonstrated that these extreme conditions can be somewhat mitigated by accounting for the deformation of the surrounding brain tissue.

Citation

Jannesari, Mohammad; Ghitti, Beatrice; Gluckman, Bruce; Costanzo, Francesco (2025). Data: Refinement of a Poroelastic Model for Zero Porosity: Finite Element Implementation and Investigation of Fluid Mechanics in the Perivascular Space [Data set]. Scholarsphere. https://doi.org/10.26207/r7a0-fs14

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Metadata

Work Title Data: Refinement of a Poroelastic Model for Zero Porosity: Finite Element Implementation and Investigation of Fluid Mechanics in the Perivascular Space
Subtitle COMSOL Multiphysics File
Access
Open Access
Creators
  1. Mohammad Jannesari
  2. Beatrice Ghitti
  3. Bruce Gluckman
  4. Francesco Costanzo
Keyword
  1. Poroelasticity
  2. Zero Porosity
  3. Perivascular Space
  4. Cerebrospinal Fluid Mechanics
  5. Finite Element Method
License CC BY 4.0 (Attribution)
Work Type Software Or Program Code
Acknowledgments
  1. The authors gratefully acknowledge partial support from the Pennsylvania Department of Health using Tobacco CURE Funds (the Department specifically disclaims responsibility for any analyses, interpretations, or conclusions).
Publication Date 2025
Subject
  1. Computational Biomechanics
Language
  1. English
DOI doi:10.26207/r7a0-fs14
Deposited October 17, 2025

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Work History

Version 1
published

  • Created

    October 17, 2025 23:21 by fxc8

  • Updated

    October 17, 2025 23:21 by [unknown user]

  • Updated Keyword, Subject, Language, and 3 more Show Changes

    October 17, 2025 23:27 by fxc8

    Keyword
    • Poroelasticity, Zero Porosity, Perivascular Space, Cerebrospinal Fluid Mechanics, Finite Element Method
    Subject
    • Computational Biomechanics
    Language
    • English
    Subtitle
    • COMSOL Multiphysics File
    Description
    • In conventional formulations of poroelasticity, when the porosity approaches zero or vanishes in some parts of the poroelastic domain, if only temporarily, the governing equations degenerate to those for the solid phase thereby inhibiting a suitable determination of the fluid velocity field. To address this challenge, we reformulated a poroelastic model based on mixture theory to accommodate scenarios with zero porosity. We verified our model using the method of manufactured solutions and demonstrated its ability to handle extreme conditions in a sample test problem. As an application of our framework, we investigated peristaltic flow in the perivascular space of a penetrating arteriole in brain. Our analysis revealed that some literature-suggested parameters can drive the model to predict extreme non-physiological conditions. We further demonstrated that these extreme conditions can be somewhat mitigated by accounting for the deformation of the surrounding brain tissue.
    Publication Date
    • 2025
  • Updated Acknowledgments Show Changes

    October 17, 2025 23:30 by fxc8

    Acknowledgments
    • The authors gratefully acknowledge partial support from the Pennsylvania Department of Health using Tobacco CURE Funds (the Department specifically disclaims responsibility for any analyses, interpretations, or conclusions).
  • Added Creator Mohammad Jannesari Ladani

    October 17, 2025 23:30 by fxc8

  • Added Creator Beatrice Ghitti

    October 17, 2025 23:30 by fxc8

  • Added Creator Bruce Gluckman

    October 17, 2025 23:30 by fxc8

  • Added Creator Francesco Costanzo

    October 17, 2025 23:30 by fxc8

  • Updated License Show Changes

    October 20, 2025 05:30 by fxc8

    License
    • https://creativecommons.org/licenses/by/4.0/
  • Added Readme.txt

    October 20, 2025 05:31 by fxc8

  • Added SimulationFiles.zip

    October 20, 2025 05:31 by fxc8

  • Published

    October 20, 2025 05:34 by fxc8

  • Updated

    October 20, 2025 22:09 by [unknown user]

  • Renamed Creator Mohammad Jannesari Show Changes

    November 05, 2025 12:52 by avs5190

    • Mohammad Jannesari Ladani
    • Mohammad Jannesari

Version 2
published

  • Created

    October 22, 2025 12:36 by avs5190

  • Deleted Readme.txt

    October 22, 2025 12:36 by avs5190

  • Added Readme_v2.txt

    October 22, 2025 12:36 by avs5190

  • Published

    October 22, 2025 12:36 by avs5190

  • Renamed Creator Mohammad Jannesari Show Changes

    November 05, 2025 12:11 by avs5190

    • Mohammad Jannesari Ladani
    • Mohammad Jannesari
  • Deleted Readme_v2.txt

    November 05, 2025 12:11 by avs5190

  • Added Readme_v2.txt

    November 05, 2025 12:12 by avs5190