Entropy stable schemes for compressible flows on unstructured meshes - - PowerPoint PPT Presentation

entropy stable schemes for compressible flows on
SMART_READER_LITE
LIVE PREVIEW

Entropy stable schemes for compressible flows on unstructured meshes - - PowerPoint PPT Presentation

Entropy stable schemes for compressible flows on unstructured meshes Deep Ray Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore deep@math.tifrbng.res.in http://math.tifrbng.res.in/deep SCPDE-2014, Hong Kong


slide-1
SLIDE 1

Entropy stable schemes for compressible flows on unstructured meshes

Deep Ray

Tata Institute of Fundamental Research Center for Applicable Mathematics Bangalore deep@math.tifrbng.res.in http://math.tifrbng.res.in/˜deep

SCPDE-2014, Hong Kong 9th November 2014

Deep Ray KEP-ES

slide-2
SLIDE 2

Work done with:

  • Praveen Chandrashekar, TIFR-CAM, Bangalore
  • Siddhartha Mishra, Seminar for Applied Mathematics, ETH Zurich
  • Ulrik S. Fjordholm, NTNU, Trondheim

Funded by:

  • AIRBUS Group Corporate Foundation Chair in Mathematics of

Complex Systems, established in TIFR/ICTS, Bangalore

Deep Ray KEP-ES

slide-3
SLIDE 3

Conservation laws

Consider the (hyperbolic) system ∂U ∂t + ∂f1 ∂x + ∂f2 ∂y = 0 ∀ (x, t) ∈ R2 × R+ U(x, 0) = U0(x) ∀ x ∈ R2 Examples

  • Shallow water equations (Geophysics)
  • Euler equations (Aerodynamics)
  • MHD equations (Plasma physics)

Non linearities = ⇒ disc. soln. = ⇒ weak (distributional) soln.

Deep Ray KEP-ES

slide-4
SLIDE 4

Entropy framework

Entropy-entropy flux pair (η(U), q(U) = (q1(U), q2(U)) ∂tη(U) + div· (q(U)) ≤ 0 where V = η′(U) → entropy variables. Single out ”a” physically relevant solution d dt

  • η(U)dx ≤ 0

= ⇒ ||U(., t)||L2 ≤ C No global existence, uniqueness results for generic multidimensional systems

Deep Ray KEP-ES

slide-5
SLIDE 5

Entropy stable schemes

  • Cartesian meshes

◮ Tadmor (1987): Entropy conservative flux. ◮ Lefloch et al. (2002): Higher order entropy conservative schemes. ◮ Explicit entropy stable schemes by Roe and Ismail (2009), PC (2013). ◮ Fjordholm et al. (2011): Entropy stable ENO schemes (TeCNO).

  • Madrane et al. (2012): First order entropy stable schemes on

unstructured meshes.

Deep Ray KEP-ES

slide-6
SLIDE 6

Outline

  • 2D conservation laws:

◮ Discretisation (unstructured) ◮ Entropy conservative/stable schemes ◮ High-order schemes (sign property) ◮ Numerical results

  • 2D Navier-Stokes equations:

◮ Global entropy relations ◮ Discrete analogue ◮ Boundary conditions ◮ Numerical results Deep Ray KEP-ES

slide-7
SLIDE 7

Discretization

Discretize domain into triangles T, with nodes i, j, k,etc

  • Primary cell:

Te T j i k l e nT

i

nTe

i

nTe

j

ne

Deep Ray KEP-ES

slide-8
SLIDE 8

Discretization

Discretize domain into triangles T, with nodes i, j, k,etc

  • Primary cell:
  • Dual control volumes Ci

Median dual Voronoi dual

Deep Ray KEP-ES

slide-9
SLIDE 9

Discretization

Discretize domain into triangles T, with nodes i, j, k,etc

  • Primary cell:
  • Dual control volumes Ci

Median dual Voronoi dual Suitable for complex geometries!!

Deep Ray KEP-ES

slide-10
SLIDE 10

Semi-discrete scheme

dUi dt + 1 |Ci|

  • j∈i

Fij = 0 Ui − → cell average over Ci Fij = F(Ui, Uj, nij) is the numerical flux satisfying

1 Consistency:

F(U, U, n) = F(U, n) := f1(U)n1 + f2(U)n2

2 Conservation:

F(U1, U2, n) = −F(U2, U1, −n) ∀ U1, U2, n

Deep Ray KEP-ES

slide-11
SLIDE 11

First order entropy stable flux 1

  • Entropy conservative flux

Fij = F∗

ij

s.t. dη(Ui) dt + 1 |Ci|

  • j∈i

q∗

ij = 0

  • Sufficient condition (Tadmor)

∆V⊤

ijF∗ ij = ψ(Uj, nij) − ψ(Ui, nij)

where ψ(U, n) := V(U)⊤F(U, n) − q(U, n)

q1n1+q2n2

→ (entropy potential)

  • Entropy variable based dissipation

Fij = F∗

ij−1

2Dij∆Vij, Dij = D⊤

ij ≥ 0

= ⇒ dη(Ui) dt + 1 |Ci|

  • j∈i

qij ≤ 0

  • 1A. Madrane, UF, SM, and E. Tadmor. Entropy conservative and entropy stable

finite volume schemes for multi-dimensional conservation laws on unstructured

  • meshes. (in review)

Deep Ray KEP-ES

slide-12
SLIDE 12

First order entropy stable flux

  • Kinetic energy and entropy conservative flux (PC) for Euler

equations.

  • Dissipation operator

Dij = RijΛijR⊤

ij

Rij → scaled eigenvectors of FU (Barth) Λij = diag[|λ1|, ..., |λn|] → Roe type

  • KEPES ≡ Kinetic energy and entropy conservative flux + Roe

dissipation

Deep Ray KEP-ES

slide-13
SLIDE 13

High-order diffusion

∆Vij ∼ O(|∆xij|) = ⇒ first order flux Idea: For each xij, reconstruct V in Ci, Cj with polynomials Vi(x), Vj(x) respectively. Vij = Vi(xij), Vji = Vj(xij), Vij = Vji − Vij Sign property (Fjordholm et al.) For each xij, define the scaled entropy variables Z = R⊤

  • ijV. Then

numerical flux Fij = F∗

ij−1

2RijΛijZij = F∗

ij−1

2DijVij, Vij = (RT

ij)−1Zij

is entropy stable if the sign property holds for Z componentwise. sign(Zij) = sign(∆Zij)

Deep Ray KEP-ES

slide-14
SLIDE 14

Second order (limited) reconstruction

i j i − 1 j + 1

Define Zi = R⊤

ijVi,

Zj = R⊤

ijVj

The componentwise reconstructed scaled variables are Zij =Zi + 1 2minmod

  • ∆f

ij, ∆b ij

  • Zji =Zj − 1

2minmod

  • ∆f

ji, ∆b ji

  • need ∇hZi = R⊤

ij∇hVi

Deep Ray KEP-ES

slide-15
SLIDE 15

Transonic flow past NACA-0012 airfoil

angle of attack = 2 degrees, freestream M = 0.85 KEPES KEPES-TeCNO Mach number, 20 equally spaced contours between 0.5 and 1.5 ROE (MUSCL)

Deep Ray KEP-ES

slide-16
SLIDE 16

Subsonic flow past a cylinder

freestream M = 0.3, symmetric, isentropic flow

KEPES KEPES-TeCNO KEPES2

Scheme Minimum Maximum Percent deviation from s∞ KEPES 2.07147 2.08695 +0.747 %

  • 0.000 %

KEPES-TeCNO 2.07147 2.07208 +0.029 %

  • 0.000 %

KEPES2 2.07139 2.07153 +0.003 %

  • 0.004 %

Table : Physical entropy bounds, with freestream s∞ = 2.07147

Deep Ray KEP-ES

slide-17
SLIDE 17

2D Navier-Stokes Equations

Initial boundary valued problem ∂U ∂t + ∂f1 ∂x + ∂f2 ∂y = ∂g1 ∂x + ∂g2 ∂y ∀ x = (x, y) ∈ Ω ⊂ R2, t ∈ R+ U(x, 0) = U0(x) ∀ x ∈ Ω B(U(x, t)) = h(x, t) ∀ x ∈ ∂Ω

Deep Ray KEP-ES

slide-18
SLIDE 18

2D Navier-Stokes Equations

Initial boundary valued problem ∂U ∂t + ∂f1 ∂x + ∂f2 ∂y = ∂g1 ∂x + ∂g2 ∂y ∀ x = (x, y) ∈ Ω ⊂ R2, t ∈ R+ U(x, 0) = U0(x) ∀ x ∈ Ω B(U(x, t)) = h(x, t) ∀ x ∈ ∂Ω Specific entropy pair for symmetrization η(U) = − ρs γ − 1, q1(U) = − ρus γ − 1, q2(U) = − ρvs γ − 1

Deep Ray KEP-ES

slide-19
SLIDE 19

2D Navier-Stokes Equations

Initial boundary valued problem ∂U ∂t + ∂f1 ∂x + ∂f2 ∂y = ∂g1 ∂x + ∂g2 ∂y ∀ x = (x, y) ∈ Ω ⊂ R2, t ∈ R+ U(x, 0) = U0(x) ∀ x ∈ Ω B(U(x, t)) = h(x, t) ∀ x ∈ ∂Ω Specific entropy pair for symmetrization η(U) = − ρs γ − 1, q1(U) = − ρus γ − 1, q2(U) = − ρvs γ − 1 Viscous fluxes in terms of entropy variables g1 = K11(V)∂V ∂x + K12(V)∂V ∂y , g2 = K21(V)∂V ∂x + K22(V)∂V ∂y where K = K11 K12 K21 K22

  • ≥ 0

Deep Ray KEP-ES

slide-20
SLIDE 20

Global entropy relation

Integrating NSE against V⊤ gives us d dt

η = −

  • ∂Ω

q(U, n)−

∇V, ∇V

  • +
  • ∂Ω

V⊤G(U, n) ≤ −

  • ∂Ω

q(U, n) +

  • ∂Ω

V⊤G(U, n) where G(U, n) = g1(U)n1 + g2(U)n2 and

  • ∇V =

∂xV ∂yV

  • ∈ R8
  • btained from

∇V =

  • ∂xV, ∂yV
  • ∈ R4×2

Deep Ray KEP-ES

slide-21
SLIDE 21

Semi-discrete scheme

Notations j ∈ i = { all vertices j neighbouring vertex i } i ∈ T = { all vertices i belonging to triangle T } T ∈ i = { all triangles T having vertex i } Γ = { all boundary edges of the primary mesh } Γi = { all boundary edges of the primary mesh having vertex i } |Ci|dUi dt = −

  • j∈i

Fij +

  • T ∈i

GT · nT

i

2 −

  • e∈Γi

Fie +

  • e∈Γi

Ge· ne 2

Deep Ray KEP-ES

slide-22
SLIDE 22

Choosing flux terms

  • Interior inviscid flux Fij is an entropy stable flux

Deep Ray KEP-ES

slide-23
SLIDE 23

Choosing flux terms

  • Interior inviscid flux Fij is an entropy stable flux
  • Interior viscous flux GT = (GT

1 , GT 2 ) is chosen as

GT

α = KT α1· ∂h xVT + KT α2· ∂h y VT ,

α = 1, 2

Deep Ray KEP-ES

slide-24
SLIDE 24

Choosing flux terms

  • Interior inviscid flux Fij is an entropy stable flux
  • Interior viscous flux GT = (GT

1 , GT 2 ) is chosen as

GT

α = KT α1· ∂h xVT + KT α2· ∂h y VT ,

α = 1, 2

  • Boundary inviscid flux Fie is chosen as

Fie = Fie

  • U, Ub, ne
  • Fie =

  F ρ

ie 1 2(pb ine) + uiF ρ ie

F E

ie

  , F ρ

ie =

  • ρub

ne

2

  • i

F E

ie =

  • ρ|u|2

2 + γp γ − 1 ub

ne

2

  • i

+

  • (pb − p)une

2

  • i

BC implemented weakly

Deep Ray KEP-ES

slide-25
SLIDE 25

Choosing flux terms

  • Interior inviscid flux Fij is an entropy stable flux
  • Interior viscous flux GT = (GT

1 , GT 2 ) is chosen as

GT

α = KT α1· ∂h xVT + KT α2· ∂h y VT ,

α = 1, 2

  • Boundary inviscid flux Fie is chosen as

Fie = Fie

  • U, Ub, ne
  • Boundary viscous flux Ge = (Ge

1, Ge 2) is chosen as

Ge· ne = GTe· ne + Ce

Deep Ray KEP-ES

slide-26
SLIDE 26

Discrete global entropy relation

Pre-multiplying the scheme by Vi and summing over all nodes.

d dt

  • i

ηi|Ci| ≤ −

  • e∈Γ
  • ρs

γ − 1 ub

ne

2

  • i

  • ρs

γ − 1 ub

ne

2

  • j
  • +
  • e∈Γ
  • (Vb

i + Vb j)⊤

2 GTe· ne + (Vi + Vj) 2

Ce

  • which is consistent with

d dt

η ≤ −

  • ∂Ω

q(U, n) +

  • ∂Ω

V⊤G(U, n)

Deep Ray KEP-ES

slide-27
SLIDE 27

Homogeneous boundary conditions

Slip BC (Euler) Continuous setup d dt

η ≤ 0 Discrete setup d dt

  • i

ηi|Ci| ≤ 0

Deep Ray KEP-ES

slide-28
SLIDE 28

Homogeneous boundary conditions

Slip BC (Euler) Continuous setup d dt

η ≤ 0 Discrete setup d dt

  • i

ηi|Ci| ≤ 0 No-slip BC with zero heat flux Continuous setup Ge· ne =   τ· ne   d dt

η ≤ 0 Discrete setup Ce = −

  • κ

R(V e,(4))2

  • ∇hVTe,(4)· ne

⊤ Ge· ne =   τ h· ne  , d dt

  • i

ηi|Ci| ≤ 0

Deep Ray KEP-ES

slide-29
SLIDE 29

Numerical results: Lid driven cavity

Top lid moving with velocity (u = 1, v = 0). No-slip BC on other 3 faces. Comparing with data of Ghia et al. u on vert. line through center v on hor. line through center

−0.2 0.2 0.4 0.6 0.8 0.2 0.4 0.6 0.8 1

u y Referrence Roe KEPES−TECNO

0.2 0.4 0.6 0.8 1 −0.5 −0.4 −0.3 −0.2 −0.1 0.1 0.2 0.3

x v Referrence Roe KEPES−TECNO

Deep Ray KEP-ES

slide-30
SLIDE 30

Flow past a cylinder

Inflow:

  • u = 4um

y(H − y) H2 , 0

  • ,

um = 1.5, Re = 100

back Deep Ray KEP-ES

slide-31
SLIDE 31

Flow past a cylinder

Inflow:

  • u = 4um

y(H − y) H2 , 0

  • ,

um = 1.5, Re = 100

Time 3 4 5 6 7 8 9 Lift

  • 0.6
  • 0.4
  • 0.2

0.2 0.4 0.6 Deep Ray KEP-ES

slide-32
SLIDE 32

Conclusion

  • Second order (limited) entropy stable finite volume scheme for

system of conservation laws, on unstructured meshes.

  • Discretized viscous fluxes for Navier-Stokes equations with

appropriate boundary (homogeneous) fluxes to obtain global entropy stability. Next steps:

  • Higher order finite volume schemes?
  • Entropy stable boundary conditions for general BC?
  • Parellelisation and 3D implementation.

Deep Ray KEP-ES

slide-33
SLIDE 33

Thank you.

Deep Ray KEP-ES

slide-34
SLIDE 34

2D Euler Equations

U =     ρ ρu ρv E    , f1(U) =     ρu ρu2 + p ρuv u(E + p)    , f2(U) =     ρv ρuv ρv2 + p v(E + p)     where E = ρ 1 2u2 + p (γ − 1)ρ

  • Choose

η(U) = − ρs γ − 1, q1(U) = − ρus γ − 1, q2(U) = − ρvs γ − 1 s = ln (p) − γ ln (ρ) (physical entropy) V =  

γ−s γ−1 − β|u|2

2βu −2β   , β = ρ 2p = 1 RT

Deep Ray KEP-ES

slide-35
SLIDE 35

Entropy conservative flux for Euler

Kinetic energy and entropy conservative flux F∗ =     F ∗,ρ F ∗,m1 F ∗,m2 F ∗,e     =    

  • ρun

˜ pn1 + uF ∗,ρ ˜ pn2 + vF ∗,ρ F ∗,e     where un = un1 + vn2, ˜ p = ρ 2β , F ∗,e =

  • 1

2(γ − 1) β − 1 2|u|2

  • F ∗,ρ + u· F∗,m

The crucial property for kinetic energy preservation (Jameson) Fm = pn + uF ρ for any consistent approximations of p and F ρ.

Deep Ray KEP-ES

slide-36
SLIDE 36

Entropy stable KEPES flux

For Euler equations, we choose Roe type dissipation Dij = Rij|Λij|R⊤

ij

where R =     1 1 1 u − a˜ n1 u ˜ n2 u + a˜ n1 v − a˜ n2 v −˜ n1 v + a˜ n2 H − au˜

n 1 2|u|2

u˜ n2 − v˜ n1 H + au˜

n

    S

1 2

S = diag ρ 2γ , (γ − 1)ρ γ , p, ρ 2γ

  • Λ = diag [un − a,

un, un, un + a] ˜ n → unit face normal, u˜

n = u· ˜

n a = γp ρ → speed of sound in air H = a2 γ − 1 + |u|2 2 → specific enthalpy

Deep Ray KEP-ES

slide-37
SLIDE 37

Second order (limited) reconstruction

i j i − 1 j + 1

  • The forward differences

∆f

ij = Zj −Zi,

∆f

ji = Zj+1−Zj = [Zi+2(xj −xi)⊤∇hZj]−Zj

  • The backward differences

∆b

ij = Zi −Zi−1 = Zi −[Zj −2(xj −xi)⊤∇hZi],

∆b

ji = Zj −Zi

∇hZi = R⊤

ij∇hVi

Deep Ray KEP-ES

slide-38
SLIDE 38

Entropy stability is important

1D modified shocktube test: (ρL, uL, pL) = (1.0, 0.75, 1.0), (ρR, uR, pR) = (0.125, 0.0, 0.1)

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.2 0.4 0.6 0.8 1

x density

Exact KEPES ROE

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.5 1 1.5

x x−velocity

Exact KEPES ROE

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.2 0.4 0.6 0.8 1

x pressure

Exact KEPES ROE

Roe’s solver (without fix) gives entropy violating shock.

Deep Ray KEP-ES

slide-39
SLIDE 39

Gradients

i 1 2 3 4 5 n1,2 ni,2 ni,1 n5,i n5,1 T 1 2 3 nT

1

nT

2

nT

3

∇hZi = R⊤

ij∇hVi

∇hVT = 1 |T|     (Vi + Vj) 2 ⊗ nT

k

  • trapezoidal rule

+(Vj + Vk) 2 ⊗ nT

i + (Vk + Vi)

2 ⊗ nT

j

    ∇hVTe = 1 |T|

  • (Vb

i + Vb j)

2 ⊗ ne + (Vj + Vk) 2 ⊗ nTe

i

+ (Vk + Vi) 2 ⊗ nTe

j

  • Deep Ray

KEP-ES

slide-40
SLIDE 40

Gradients

i 1 2 3 4 5 n1,2 ni,2 ni,1 n5,i n5,1 T 1 2 3 nT

1

nT

2

nT

3

∇hZi = R⊤

ij∇hVi

∇hVi =

  • T ∈i

|T|∇hVT

  • T ∈i

|T|

Deep Ray KEP-ES

slide-41
SLIDE 41

Time integration:

  • SSP-RK3: Explicit strong stability preserving RK3

du dt = L(u) v(0) = vn v(1) = v(0) + ∆tL(v(0) v(2) = 3 4v(0) + 1 4

  • v(1) + ∆tL(v(1)

v(3) = 1 3v(0) + 2 3

  • v(2) + ∆tL(v(2)

vn+1 = v(3)

Deep Ray KEP-ES

slide-42
SLIDE 42

Step in wind tunnel

  • Supersonic flow past forward step, M=3.
  • Corner is the center of a rarefaction fan =

⇒ singular point.

  • Shocks undergo reflections.

Deep Ray KEP-ES

slide-43
SLIDE 43

2D Navier-Stokes Equations

∂U ∂t + ∂f1 ∂x + ∂f2 ∂y = ∂g1 ∂x + ∂g2 ∂y g1(U) =     τ11 τ21 uτ11 + vτ21 − Q1    , g2(U) =     τ21 τ22 uτ21 + vτ22 − Q2     where τ11 = 4µ 3 ∂u ∂x − 2µ 3 ∂v ∂y , τ12 = τ21 = µ ∂u ∂y − ∂v ∂x

  • ,

τ22 = 4µ 3 ∂v ∂y − 2µ 3 ∂u ∂x, Q = (Q1, Q2) = −κ∇T µ − → dynamic coeff. of viscosity κ − → coeff. of heat conductance

Deep Ray KEP-ES

slide-44
SLIDE 44

Inviscid boundary flux

Boundary inviscid flux Fie is chosen as Fie =   F ρ

ie 1 2(pb ine) + uiF ρ ie

F E

ie

  , F ρ

ie =

  • ρub

ne

2

  • i

F E

ie =

  • ρ|u|2

2 + γp γ − 1 ub

ne

2

  • i

+

  • (pb − p)une

2

  • i

Deep Ray KEP-ES

slide-45
SLIDE 45

Numerical results: Viscous shock tube problem

Balancing effects of physical viscosity, the heat flux and artificial numerical viscosity (ρL, uL, pL) = (1.0, 0.0, 1.0) (ρR, uR, pR) = (0.125, 0.0, 0.1) Pr = 1.0, h ∼ 1.0 × 10−2 κ = µcp Pr We consider three flows regimes depending on µ. ND → Numerical dissipation present Visc → Physical viscosity present Heat → Heat flux present

Deep Ray KEP-ES

slide-46
SLIDE 46

Numerical results: Viscous shock tube problem

Regime 1: µ = 2.0 × 10−4

0.2 0.4 0.6 0.8 1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

x density Visc+Heat+ND Visc+ND Visc Visc+Heat

0.2 0.4 0.6 0.8 1 0.2 0.4 0.6 0.8 1 1.2

x x−vleocity Visc+Heat+ND Visc+ND Visc Visc+Heat

Severe oscillations in the absence of ND.

Deep Ray KEP-ES

slide-47
SLIDE 47

Numerical results: Viscous shock tube problem

Regime 2: µ = 2.0 × 10−3

0.2 0.4 0.6 0.8 1 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

x density Visc+Heat+ND Visc+ND Visc Visc+Heat

0.2 0.4 0.6 0.8 1 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

x x−vleocity Visc+Heat+ND Visc+ND Visc Visc+Heat

Deep Ray KEP-ES

slide-48
SLIDE 48

Numerical results: Viscous shock tube problem

Regime 2: µ = 2.0 × 10−3

0.34 0.36 0.38 0.4 0.42 0.44 0.46 0.48 0.5 0.5 0.55 0.6 0.65 0.7 0.75

x density Visc+Heat+ND Visc+ND Visc Visc+Heat

Deep Ray KEP-ES

slide-49
SLIDE 49

Numerical results: Viscous shock tube problem

Regime 3: µ = 2.0 × 10−2

0.5 1 1.5 2 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

x density Visc+Heat+ND Visc+ND Visc Visc+Heat

0.5 1 1.5 2 −0.2 0.2 0.4 0.6 0.8 1 1.2

x x−vleocity Visc+Heat+ND Visc+ND Visc Visc+Heat

Deep Ray KEP-ES

slide-50
SLIDE 50

Numerical results: Viscous shock tube problem

Regime 2: µ = 2.0 × 10−2

0.3 0.35 0.4 0.45 0.5 0.55 0.6 0.65 0.55 0.6 0.65 0.7 0.75

x density Visc+Heat+ND Visc+ND Visc Visc+Heat

Deep Ray KEP-ES

slide-51
SLIDE 51

Numerical results: Laminar flat-plate boundary layer

Re = 105, M∞ = 0.1 Slip BC on inlet portion Adiabatic no-slip BC on flat plate Farfield BC on In-flow Freestream pressure BC on top and outlet Inlet portion Flat plate

Deep Ray KEP-ES

slide-52
SLIDE 52

Numerical results: Laminar flat-plate boundary layer

Comparing with Blasius semi-analytical solution on the vertical line through plate center Streamwise velocity Vertical velocity

1 2 3 4 5 6 7 0.2 0.4 0.6 0.8 1 1.2 eta u/uinf Blasius ROE KEPES-TECNO 1 2 3 4 5 6 7 0.2 0.4 0.6 0.8 1 1.2 eta v*sqrt(2*Rex)/uinf Blasius ROE KEPES-TECNO

Deep Ray KEP-ES