Literature DB >> 25833463

A unified method for estimating pressure losses at vascular junctions.

Jonathan P Mynard1,2,3, Kristian Valen-Sendstad1,4.   

Abstract

In reduced-order (0D/1D) blood or respiratory flow models, pressure losses at junctions are usually neglected. However, these may become important where velocities are high and significant flow redirection occurs. Current methods for estimating losses rely on relatively complex empirical equations that are only valid for specific junction geometries and flow regimes. In pulsatile multi-directional flows, switching between empirical equations upon reversing flow may introduce unrealistic discontinuities in simulated haemodynamic waveforms. Drawing from work by Bassett et al. (SAE Trans 112:565-583, 2003), we therefore developed a unified method (Unified0D) for estimating loss coefficients that can be applied to any junction (i.e. any number of branches at any angle) and any flow regime. Discontinuities in simulated waveforms were avoided by extending Bassett et al.'s control volume-based method to incorporate a 'pseudodatum' supplier branch, an imaginary effective vessel containing all inflow to the junction. Energy exchange between diverging flow streams was also accounted for empirically. The formulation was validated using high resolution computational fluid dynamics in a wide range flow conditions and junction configurations. In a pulsatile 1D simulation exhibiting transitions between four different flow regimes, the new formulation produced smooth transitions in calculated pressure losses.
Copyright © 2015 John Wiley & Sons, Ltd.

Keywords:  bifurcation; blood flow; loss coefficient; lumped parameter model; one-dimensional model; respiratory flow

Mesh:

Year:  2015        PMID: 25833463     DOI: 10.1002/cnm.2717

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  10 in total

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3.  Roadmap for cardiovascular circulation model.

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Journal:  J Physiol       Date:  2016-09-29       Impact factor: 5.182

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6.  Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve.

Authors:  P J Blanco; C A Bulant; L O Müller; G D Maso Talou; C Guedes Bezerra; P A Lemos; R A Feijóo
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Authors:  Viviana Mancini; Aslak W Bergersen; Jan Vierendeels; Patrick Segers; Kristian Valen-Sendstad
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Journal:  Int J Numer Method Biomed Eng       Date:  2019-08-16       Impact factor: 2.747

9.  High fidelity blood flow in a patient-specific arteriovenous fistula.

Authors:  J W S McCullough; P V Coveney
Journal:  Sci Rep       Date:  2021-11-16       Impact factor: 4.379

10.  A nonlinear multi-scale model for blood circulation in a realistic vascular system.

Authors:  Ulin Nuha A Qohar; Antonella Zanna Munthe-Kaas; Jan Martin Nordbotten; Erik Andreas Hanson
Journal:  R Soc Open Sci       Date:  2021-12-01       Impact factor: 2.963

  10 in total

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