Skip to main content
Log in

The effects of nonsymmetry in a branching flow network

  • Published:
Journal of Engineering Mathematics Aims and scope Submit manuscript

Abstract

A planar flow network consisting of successive generations of bifurcating vessels located downstream from a single mother vessel containing an incident fully developed flow is investigated. The theory and analysis developed which are for relatively thin vessels apply to small, medium or large networks. Although each successive bifurcation is in effect from a new mother vessel to two daughters, the networked system splits these into different types of bifurcation, the middle ones being inertial and the edge ones being viscous–inviscid in view of the wall conditions. The influences of network shapes, topology and end-pressure differences on the flow ahead of and inside the network are examined. Distinct local and global forms of upstream influence are active. The effects are especially marked in terms of non-symmetry, which leads to a global upstream influence, displaces the whole incident flow and particularly affects the motions near the outermost walls; there the non-symmetrical effects govern the induced wall shear stress and pressure and the solution dependence is very sensitive because of the realistic incident flow. Results from lattice-Boltzmann simulations are also described, and comparisons are then made with the theory and analysis. Pressure and shape control are considered in detail.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Pries AR, Secomb TW, Gaehtgens P (1998) Structural adaptation and stability of microvasular networks:theory and simulations. Am J Physiol Heart Circ Physiol 275: H349–H360

    Google Scholar 

  2. Hademenos GJ, Massoud TF, Viñuela F (1996) A biomathematical model of intracranial arteriovenous malformations based on electrical network analysis. Neurosurgery 38: 1005–1015

    Article  Google Scholar 

  3. Goldman D, Popel AS (2000) A computational study of the effect of capillary network anastomoses and tortuosity on oxygen transport. J Theor Biol 206(2): 181–194

    Article  Google Scholar 

  4. Brada M, Kitchen ND (2000) How effective is radiosurgery for arteriovenous malformations. J Neurol Neurosurg Psychiatry 68: 548–549

    Article  Google Scholar 

  5. McEvoy AW, Kitchen ND, Thomas DGT (2000) Intracerebral haemorrhage in young adults:the emergence of drug misuse. B Med J 320: 1322–1324

    Article  Google Scholar 

  6. Smith FT, Jones MA (2000) One-to-few and one-to-many branching tube flows. J Fluid Mech 423: 1–31

    Article  MATH  ADS  MathSciNet  Google Scholar 

  7. Smith FT, Jones MA (2003) AVM Modelling by multi-branching tube flow:large flow rates and dual solutions. Math Med Biol 20: 183–204

    Article  MATH  Google Scholar 

  8. Young WL, Kader A, Pile-Spellman J, Ornstein E, Stein BM (1996) Arteriovenous malformation drawing vein physiology and determinants of transnidal pressure gradients. Neurosurgery 35: 389–396

    Article  Google Scholar 

  9. Gao E, Young WL, Pile-Spellman J, Joshi S, Duong H, Stieg PE, Ma Q (1997) Cerebral arteriovenous malformations feeding artery aneurysms:a theoretical model of intravascular pressure changes after treatment. Neurosurgery 41: 1345–1358

    Article  Google Scholar 

  10. Hademenos GJ, Massoud TF (1997) Biophysical mechanisms of stroke. Stroke 28: 2067–2077

    Google Scholar 

  11. Zhao Y, Brunskill CT, Lieber BB (1997) Inspiratory and expiratory steady flow analysis in a model symmetrically bifurcating airway. J Biomech Eng 119(1): 52–58

    Article  Google Scholar 

  12. Wilquem F, Degrez G (1997) Numerical modelling of steady inspiratory airflow through a three-generation model of the human central airways. J Biomech Eng 119(1): 59–65

    Article  Google Scholar 

  13. Liu Y, So RM, Zhang CH (2003) Modeling the bifurcating flow in an asymmetric human lung airway. J Biomech 36(7): 951–959

    Article  Google Scholar 

  14. Kassab GS, Schatz A, Imoto K, Fung Y-C (2000) Remodeling of the bifurcation asymmetry of the right coronary ventricular branches in hypertrophy. Ann Biomed Eng 28(4): 424–430

    Article  Google Scholar 

  15. Lorthois S, Lagree P-Y, Marc-Vergnes J-P, Cassot F (2000) Maximal wall shear stress in arterial stenoses:application to the internal carotid arteries. J Biomech Eng 122(6): 661–666

    Article  Google Scholar 

  16. Comer JK, Kleinstreuer C, Zhang Z (2001) Flow structures and particle deposition patterns in double-bifurcation airway models. Part 1:air flow fields. J Fluid Mech 435: 25–54

    MATH  ADS  Google Scholar 

  17. Cassidy KJ, Gavriely N, Grotberg JB (2001) Liquid plug flow in straight and bifurcating tubes. J Biomech Eng 123(6): 580–589

    Article  Google Scholar 

  18. Resnick N, Einav S, Chen-Konak L, Zilberman M, Yahav H, Shay-Salit A (2004) Haemodynamic forces as a stimulus for arteriogenesis. Endothelium 10: 197–206

    Article  Google Scholar 

  19. Alarcon T, Byrne HM, Maini PK (2005) A design principle for vascular beds:the effects of complex blood rheology. Microvascular Res 69: 156–172

    Article  Google Scholar 

  20. Bowles RI, Dennis SCR, Purvis R, Smith FT (2005) Multi-branching flows from one mother tube to many daughter or to a network. Phil Trans Roy Soc A 363: 1045–1055

    Article  MATH  ADS  MathSciNet  Google Scholar 

  21. Tadjfar M, Smith FT (2004) Direct simulations and modelling of basic three-dimensional bifurcating tube flows. J Fluid Mech 519: 1–32

    Article  MATH  ADS  MathSciNet  Google Scholar 

  22. Smith FT, Ovenden NC, Franke PT, Doorly DJ (2003) What happens to pressure when a flow enters a side branch. J Fluid Mech 479: 231–258

    Article  MATH  ADS  MathSciNet  Google Scholar 

  23. Smith FT, Dennis SCR, Jones MA, Ovenden NC, Purvis R, Tadjfar M (2003) Fluid flows through various branching tubes. J Eng Maths 47: 277–298

    Article  MATH  MathSciNet  Google Scholar 

  24. Smith FT (1977) Upstream interactions in channel flows. J Fluid Mech 79: 631–655

    Article  MATH  ADS  Google Scholar 

  25. Smith FT (1976) On entry-flow effects in bifurcating, blocked or constricted tubes. J Fluid Mech 78: 709–736

    Article  MATH  ADS  Google Scholar 

  26. Brotherton-Ratcliffe RV (1987) Boundary layer effects in liquid layer flows. Ph.D. Thesis, University of London

  27. Chen S, Doolen GD (1998) Lattice Boltzmann method for fluid flows. Ann Rev Fluid Mech 30: 329–364

    Article  ADS  MathSciNet  Google Scholar 

  28. Wolf-Gladrow DA (2000) Lattice-gas cellular automata and lattice Boltzmann models. Springer

  29. Succi S (2001) The lattice Boltzmann equation for fluid dynamics and beyond. Oxford Science Publication

  30. He X, Luo LS (1997) Lattice Boltzmann model for the incompressible Navier–Stokes equations. J Stat Phys 88(3/4): 927

    Article  MATH  ADS  MathSciNet  Google Scholar 

  31. Bhatnagar P, Gross E, Krook M (1954) A model for collision processes in gases I:small amplitude processes in charged and neutral one-component system. Phys Rev 94: 511

    Article  MATH  ADS  Google Scholar 

  32. Zou Q, He X (1997) On pressure and velocity boundary conditions for the lattice Boltzmann BGK model. Phys Fluids 9: 1591

    Article  MATH  ADS  MathSciNet  Google Scholar 

  33. Smith FT, Duck PW (1980) On the severe nonsymmetric constriction, curving and cornering of channel flows. J Fluid Mech 90: 727–753

    Article  MathSciNet  ADS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Nick Ovenden.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ovenden, N., Smith, F. & Wu, G.X. The effects of nonsymmetry in a branching flow network. J Eng Math 63, 213–239 (2009). https://doi.org/10.1007/s10665-008-9232-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10665-008-9232-4

Keywords

Navigation