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A pressurized model for compressible pipe flows: derivation including friction. M. Ersoy , IMATH, Toulon MTM workshop Bilbao, June 12-13, 2014 Outline of the talk Outline of the talk 1 Physical background, Mathematical motivation and previous


  1. A pressurized model for compressible pipe flows: derivation including friction. M. Ersoy , IMATH, Toulon MTM workshop Bilbao, June 12-13, 2014

  2. Outline of the talk Outline of the talk 1 Physical background, Mathematical motivation and previous works 2 Derivation of the model including friction 3 Numerical experiment and concluding remarks M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 2 / 23

  3. Outline Outline 1 Physical background, Mathematical motivation and previous works 2 Derivation of the model including friction 3 Numerical experiment and concluding remarks M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 3 / 23

  4. Pressurized flows : overview Simulation of pressurized flows plays an important role in many engineering applications such as ◮ storm sewers ◮ waste ◮ or supply pipes in hydroelectric installations, . . . . (a) Orange-Fish tunnel (b) Sewers . . . in Paris (c) Forced pipe M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 4 / 23

  5. Pressurized flows : overview Simulation of pressurized flows plays an important role in many engineering applications such as ◮ storm sewers ◮ waste ◮ or supply pipes in hydroelectric installations, . . . . “geyser”effect − → pressure can reach severe values and may cause irreversible damage ! M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 4 / 23

  6. Pressurized flows : overview Simulation of pressurized flows plays an important role in many engineering applications such as ◮ storm sewers ◮ waste ◮ or supply pipes in hydroelectric installations, . . . . “geyser”effect − → pressure can reach severe values and may cause irreversible damage ! requiring efficient mathematical models and accurate numerical schemes M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 4 / 23

  7. Pipe friction : definition and applications Friction law F ( u ) = − k ( u τ ) u τ , u τ : tangential fluid flow tangential constraint σ ( u ) n · τ = ρk ( u τ ) u τ , ρ : density , σ : total stress tensor M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 5 / 23

  8. Pipe friction : definition and applications Friction law F ( u ) = − k ( u τ ) u τ , u τ : tangential fluid flow tangential constraint σ ( u ) n · τ = ρk ( u τ ) u τ , ρ : density , σ : total stress tensor ◮ empirical laws depending ⋆ on the fluid flow : laminar, transient, turbulent ⋆ on the material (roughness, geometry, hydraulic radius, . . . ) M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 5 / 23

  9. Pipe friction : definition and applications Friction law F ( u ) = − k ( u τ ) u τ , u τ : tangential fluid flow tangential constraint σ ( u ) n · τ = ρk ( u τ ) u τ , ρ : density , σ : total stress tensor k can be written k ( u τ ) = C l + C t | u τ | . C l and C t are the so-called friction factor given by ◮ empirical laws depending ⋆ on the fluid flow : laminar, transient, turbulent ⋆ on the material (roughness, geometry, hydraulic radius, . . . ) M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 5 / 23

  10. Pipe friction : definition and applications Friction law F ( u ) = − k ( u τ ) u τ , u τ : tangential fluid flow tangential constraint σ ( u ) n · τ = ρk ( u τ ) u τ , ρ : density , σ : total stress tensor k can be written k ( u τ ) = C l + C t | u τ | . C l and C t are the so-called friction factor given by ◮ empirical laws depending ⋆ on the fluid flow : laminar, transient, turbulent ⋆ on the material (roughness, geometry, hydraulic radius, . . . ) ◮ approximated and not always applicable M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 5 / 23

  11. Pipe friction : definition and applications Friction law F ( u ) = − k ( u τ ) u τ , u τ : tangential fluid flow tangential constraint σ ( u ) n · τ = ρk ( u τ ) u τ , ρ : density , σ : total stress tensor k can be written k ( u τ ) = C l + C t | u τ | . C l and C t are the so-called friction factor given by ◮ empirical laws depending ⋆ on the fluid flow : laminar, transient, turbulent ⋆ on the material (roughness, geometry, hydraulic radius, . . . ) ◮ approximated and not always applicable Hydraulic engineering applications : canal, irrigation, dam-break, sediment transport, geyser, energy loss, failure pumping, fluid blockage, boundary layer, . . . M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 5 / 23

  12. How to determine the friction factor The friction factor is called Fanning friction factor (whenever it is related to the shear stress) or Darcy friction factor (whenever it is related to the head loss = 4 × Fanning friction factor) and C = C ( R e , δ, R h , . . . ) . M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 6 / 23

  13. How to determine the friction factor The friction factor is called Fanning friction factor (whenever it is related to the shear stress) or Darcy friction factor (whenever it is related to the head loss = 4 × Fanning friction factor) and C = C ( R e , δ, R h , . . . ) . Examples : laminar flows ◮ C l = C 0 R e M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 6 / 23

  14. How to determine the friction factor The friction factor is called Fanning friction factor (whenever it is related to the shear stress) or Darcy friction factor (whenever it is related to the head loss = 4 × Fanning friction factor) and C = C ( R e , δ, R h , . . . ) . Examples : laminar flows ◮ C l = C 0 R e transient flows � � 1 δ β ◮ Colebrook (1939) formula : √ √ = − 2 log 10 αR h + C R e C ◮ or approximated Colebrook formula : Blasius, Haaland, Swamee-Jain,. . . M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 6 / 23

  15. How to determine the friction factor The friction factor is called Fanning friction factor (whenever it is related to the shear stress) or Darcy friction factor (whenever it is related to the head loss = 4 × Fanning friction factor) and C = C ( R e , δ, R h , . . . ) . Examples : laminar flows ◮ C l = C 0 R e transient flows � � 1 δ β ◮ Colebrook (1939) formula : √ √ = − 2 log 10 αR h + C R e C ◮ or approximated Colebrook formula : Blasius, Haaland, Swamee-Jain,. . . turbulent flows 1 ◮ Ch´ ezy (1776), Manning (1891), Strickler (1923) : C t = K 2 s R h ( S ( x )) 4 / 3 M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 6 / 23

  16. How to determine the friction factor The friction factor is called Fanning friction factor (whenever it is related to the shear stress) or Darcy friction factor (whenever it is related to the head loss = 4 × Fanning friction factor) and C = C ( R e , δ, R h , . . . ) . These coefficients are determined through the Moody diagram. M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 6 / 23

  17. Schematic : circular pipe M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 7 / 23

  18. Mathematical motivations : thin-layer approximation Mathematical motivations to reduce Viscous Compressible 3D NS p ( ρ ) = cρ → inviscid compressible 1D SW-like model J.-F. Gerbeau, B. Perthame Derivation of viscous Saint-Venant system for laminar shallow water ; numerical validation. Discrete Contin. Dyn. Syst. Ser. B , 1(1) :339–365, 2001. C. Bourdarias, M. Ersoy, S. Gerbi, A model for unsteady mixed flows in non uniform closed water pipes : a Full Kinetic Approach. Accepted in Numerische Mathematik , 2014. M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 8 / 23

  19. Mathematical motivations : thin-layer approximation Mathematical motivations to reduce Viscous Compressible 3D NS p ( ρ ) = cρ → inviscid compressible 1D SW-like model to obtain the“motion by slices”through a Neumann problem � ◮ u ( t, x, y, z ) = u ( t, x ) + u ( t, x, y, z ) , � � u ( t, x, y, z ) dy dz = 0 , ◮ Ω � u ( t, x, y, z ) = O ( ε ) where ε is the aspect-ratio. ◮ 2 ◮ u ( t, x ) 2 ≈ u ( t, x ) J.-F. Gerbeau, B. Perthame Derivation of viscous Saint-Venant system for laminar shallow water ; numerical validation. Discrete Contin. Dyn. Syst. Ser. B , 1(1) :339–365, 2001. C. Bourdarias, M. Ersoy, S. Gerbi, A model for unsteady mixed flows in non uniform closed water pipes : a Full Kinetic Approach. Accepted in Numerische Mathematik , 2014. M. Ersoy (IMATH) Compressible pipe flow including friction Bilbao, June 12-13, 2014 8 / 23

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