Communications on Applied Mathematics and Computation ›› 2022, Vol. 4 ›› Issue (2): 500-529.doi: 10.1007/s42967-021-00126-5

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A Discontinuous Galerkin Method for Blood Flow and Solute Transport in One-Dimensional Vessel Networks

Rami Masri1, Charles Puelz2, Beatrice Riviere1   

  1. 1 Department of Computational and Applied Mathematics, Rice University, Houston, TX 77005, USA;
    2 Department of Pediatrics-Cardiology, Baylor College of Medicine, Houston, TX 77030, USA
  • Received:2020-08-18 Revised:2020-12-23 Online:2022-06-20 Published:2022-04-29
  • Contact: Rami Masri, Charles Puelz, Beatrice Riviere E-mail:riviere@rice.edu;rami.masri@rice.edu;charles.puelz@bcm.edu

Abstract: This paper formulates an efficient numerical method for solving the convection diffusion solute transport equations coupled to blood flow equations in vessel networks. The reduced coupled model describes the variations of vessel cross-sectional area, radially averaged blood momentum and solute concentration in large vessel networks. For the discretization of the reduced transport equation, we combine an interior penalty discontinuous Galerkin method in space with a novel locally implicit time stepping scheme. The stability and the convergence are proved. Numerical results show the impact of the choice for the steady-state axial velocity profile on the numerical solutions in a fifty-five vessel network with physiological boundary data.

Key words: Reduced models, Blood flow, Solute transport, Coriolis coefficient, Vessel networks, Junction conditions, Locally implicit

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