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A fully coupled porous media and channels flow approach for simulation of blood and bile flow through the liver lobules

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  • Mehdi Mosharaf-Dehkordi

Abstract

Two dimensional, steady state, and incompressible blood and bile flows through the liver lobules are numerically simulated. Two different geometric models A and B are proposed to study the effects of lobule structure on the fluid flow behaviour. In Model A, the lobule tissue is represented as a hexagonal shape porous medium with a set of flow channels at its vertices accounting for the hepatic artery, portal and central veins along with bile ductules. Model B is a channelized porous medium constructed by adding a set of flow channels, representing the bile canaliculies and lobule sinusoids, to Model A. The bile and blood flow through the lobule is simulated by the finite element approach, based on the Darcy/Brinkman equations in the lobule tissue and the Navier-Stokes (or Stokes) equations in the flow channels. In Model B, a transmission factor on the boundaries of the bile canaliculies is introduced to connect the bile and blood flows. First, a single regular lobule is utilized to exhibit the fluid flow pattern through the liver lobule represented by proposed geometric models. Then, the model is extended to a group of liver lobules to demonstrate the flow through a liver slice represented by irregular lobules. Numerical results indicate that the Darcy and Brinkman equations provide nearly the same solutions for Model A and similar solutions with a little difference for Model B. It is shown that the existence of sinusoids and bile canaliculies inside the liver lobules has noticeable effects on its fluid flow pattern, in terms of pressure and velocity fields.

Suggested Citation

  • Mehdi Mosharaf-Dehkordi, 2019. "A fully coupled porous media and channels flow approach for simulation of blood and bile flow through the liver lobules," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 22(9), pages 901-915, July.
  • Handle: RePEc:taf:gcmbxx:v:22:y:2019:i:9:p:901-915
    DOI: 10.1080/10255842.2019.1601180
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    Cited by:

    1. Jens Karschau & AndrĂ© Scholich & Jonathan Wise & HernĂ¡n Morales-Navarrete & Yannis Kalaidzidis & Marino Zerial & Benjamin M Friedrich, 2020. "Resilience of three-dimensional sinusoidal networks in liver tissue," PLOS Computational Biology, Public Library of Science, vol. 16(6), pages 1-22, June.

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