direct numerical simulation and large eddy...
TRANSCRIPT
Direct Numerical Simulation and Large Eddy
Simulation of High-Speed Turbulent Flows
Lian Duan
National Institute of Aerospace
Hampton, VA 23666
December 13th, 2011/NIA
Space Shuttle
Orion
(CEV/CRV)
http://chimeracfd.com/professional/research-images/capsule/schlieren.png
MotivationSpace Access and Planetary (re)entry (Space Shuttle,
CEV/CRV, MSL, etc.)
http://www.nasa.gov/centers/ames/images/content/146600main_sts1anni
v-AC76-1713.jpg
NASA X-43
Boeing-AF X-51http://www.aerospaceweb.org/question/investigations/q0116.sht
ml
http://trendsupdates.com/boeing-x-51a-waverider-takes-maiden-test-ride-aboard-b-52-
stratofortress/
MotivationAtmospheric Hypersonic Flight External and Internal Flows
Key Physical FeaturesMultiscale & Multiphyscis
Air-breathing scramjets
http://www.stanford.edu/group/fpc/cgi-bin/fpcwiki/Main/Research#hypersonic
High-Speed Turbulent FlowsChallenges & Research Approaches
• Grand challenges
(Roy & Blottner Progress in Aero. Sci, 2006, Wright et al. NASA TM 2009-
215388)
– Limited flight-test data with large uncertainties
– Mismatch in energy levels, Reynolds numbers, and Mach numbers for
ground facilities
– Missing data on real-gas effects, heat transfer, and reactions
– Unjustified turbulence models and model parameters
• DNS and LES of high-speed turbulent flows
– provide high-fidelity 3D space and time-accurate turbulence field
– allow for exploration studies
– understand fundamental processes (Compressibility , wall cooling,
catalysis, high enthalpy, shock interactions, etc)
– improve predictive capabilities
– assess techniques for flow control (drag, surface heating, pressure
loading, combustion etc.)
Outlines
• Methodologies: DNS, LES, etc
• Sample project: DNS of high-speed boundary
layers over riblets
• Summary of other research
• Conclusions & Future work
BackgroundDNS and LES for Compressible Turbulence
• DNS/LES were well developed for incompressible flows
– Not for compressible flow
• Conflicting requirements for numerical schemes
– Shock capturing requires numerical dissipation
– Turbulence needs to reduce numerical dissipation
• Starting a simulation from a laminar/random initial
condition
– very costly
– hard to control final flow conditions
• Require continuous inflow conditions
• Weighted Essentially Non-Ocillatory (WENO) Scheme(Jiang & Shu JCP 1996, Martin et al. JCP 2007, Taylor et al. JCP 2007)
– shock-capturing capability
– high-order accuracy (up to 7th order)
– good bandwidth efficiency
DNS of Compressible Turbulent FlowsNumerical Methods
• Mean flow: Large-domain RANS calculation (DPLR
Code, NASA Ames)
– Prescribe Mach and Reynolds numbers
• Locally transform velocity fluctuations using
Morkovin’s scaling
• Locally compute thermodynamic fluctuations from
Strong Reynolds analogy
DNS of Compressible Turbulent FlowsInitialization Procedure (Martin, JFM 2007)
' '
1 1( 1998)
i i
w wM M Spalart
u u
u u
' 2
' '
'( 1)
uT M T
u
T
T
Initial flow field resembles true flow mean, statistics, structure and spectra
DNS of Compressible Turbulent FlowsInflow Conditions (Xu & Martin, PhysFluids 2004)
• Periodic boundary condition‒ Isotropic homogeneous turbulence
‒ channel flows
• Generalized rescaling method
‒Flat-plate turbulent boundary layers
•Auxiliary simulation ‒ boundary layer with surface roughness
‒ compression ramp
‒ etc
12
0
( )
j
j
ii j ji
j j
j j ji j v
j
ji
j j
j
j
ut x
uu u p
t x x
EE p u q u c
t xQ
xD
( ) ( ') ( , '; ) ' D
ff x f x G x x dx f
( ) SGS stresses
( ) SGS heat flux
( ) SGS turbulent diffusion
SGS viscous diffusion
ij i j i j
j i i
j j k k j k k
j ji i ji i
u u u u
Q u T u T
u u u u u u
D u u
LES of Compressible Turbulent FlowsGoverning Equations & SGS Terms
• SGS Stresses: Mixed Model (Speziale et al. 1988)
• SGS Heat Flux: Mixed Model (Speziale et al. 1988)
• SGS Turbulent Diffusion (Knight et al. 1998)
• SGS Viscous Diffusion Negligible
• Dynamical Evaluation of Model Coefficients
– Ensemble average along spatial directions (Moin et al. 1991 , Lilly 1992)
– Lagrangian average along the fluid particle paths (Meneveau et al. JFM 1996)
2
32
( )
ij
ij ij ij
ij ij kk
ij i j i j
C A
S S S
A u u u u
2
Prj j j
T j
S TQ C u T u T
x
j k jku
LES of Compressible Turbulent FlowsSGS Models (Martin, Piomelli & Candler 2000)
DNS and LES for Compressible Turbulence Constitutive Relation (Duan & Martin AIAAJ 2009)
• Conservative form of mass, momentum and energy equation‒ Thermodynamic Properties
‒ NASA curve fits for high-temperature air species ( Gordon & McBride 1994)
‒ Perfect-gas air model for low-enthalpy air ( Roy & Blottner 2006)
‒ Transport Properties
‒ Gupta-Yos mixing rule for high-temperature air mixture (NASA RP-1232)
‒ Power law or Keyes model (Keyes 1952) for low-enthalpy air
‒ Chemical Reaction Mechanisms for Earth Atmosphere
‒ 5 species-air-reaction mechanism (N2, O2, NO, N, O) (Park, 1990)
‒ 11 species-air reaction mechanism (N2, O2, NO, N, O, N2+,O2
+, NO+, N+, O+, e)
‒ Diffusion Model
‒ Fick’s diffusion model
‒Self-consistent binary diffusion (SCEBD) model (Ramshaw, 1990)
‒ Species Boundary Conditions
‒ Simple Models: assuming constant recombination efficiency
‒Supercatalytic
‒Noncatalytic
‒ Material Dependent Catalytic Recombination Model (Natsui et al., JTHT 1996)
,
0s w
Y
n
, ,s w sY Y
DNS/LES Validation• For turbulent boundary layers against experiments at the same conditions
– Me = 2.32, Reθ = 4450 (Martin JFM 2007)
– Me = 2.9, Reθ = 2300 (Wu & Martin AIAAJ 2007)
– Me=7.2, Reθ=3300 (Sahoo, Schultze & Smits AIAA 2009)
• In the presence of shock waves against experiments
– Wu & Martin AIAAJ 2007
– Ringuette, Wu & Martin JFM 2008
– Ringuette, Wu & Martin AIAAJ 2008
• For high-temperature phenomena
– Duan & Martin AIAAJ 2009
• SGS models for LES
– Martin CTR, 2000,Martin et al. AIAA 2000
Outlines
• Methodologies: DNS, LES, etc
• Sample project: DNS of high-speed boundary
layers over riblets
• Summary of other research
• Conclusions & Future work
RibletsLongitudinal Microgrooves
Sketch of Riblet Geometry(Robert, AGARD-R-786 1992)
Example from Nature
silky shark(Bechert & Bartenwerfer, JFM 1989)
MotivationViscous Drag Reduction
• Viscous drag accounts for a significant portion of total drag
– up to 1/2 for a transonic transport aircraft
– up to 1/3 for a supersonic aircraft
• Two major strategies for reducing skin friction drag
– Delay laminar-turbulent boundary layer transition
– Modify turbulent structures of a turbulent boundary layer
• Riblets for turbulent drag reduction
– “Premier approach for turbulent drag reduction” (Bushnell 1990)
– Drag reduction potential of 8%10% for subsonic flows
(Reviews by Walsh 1990, Coustols 1994, Vishwanath 2002)
– Extra benefits of film riblets (Walsh 1988)
• Reduced fuselage drag due to leakage from pressurized cabin
• Lower roughness drag
• corrosion resistance
• substitute for paint
Examples of Practical Applications
Swimsuits Racing YachtsAirliners
• Airbus 320: 2% reduction in overall fuel burn (Szodruch, 1991)
• Speedo racing swimsuits: Sidney Olympic Games in 2000
• Stars and Stripes: Winner of America‟s Cup in 1987
Background
• Riblets extensively investigated for subsonic applications
– Drag reduction potential established via wind tunnel experiments, flight
tests, and channel flow simulations (Walsh, 1990, Choi et al., 1993,
Goldstein et al. 1995, Mayoral & Jimenez, 2011)
– Drag reduction mechanism not well understood
• Measurements challenging in the close vicinity of the grooves
• Lack of detailed near-wall turbulence data
• Few studies in supersonic regime, none for hypersonic flows
– Experiments
• Wind Tunnel:
M =2.97 (Robinson 1988), M=1.5 (Gaudet 1989), M=1.6, 2.0, 2.5 (Coustols & Cousteix,1994)
• Flight test:
M=1.2-1.6 (Zuniga, et al, NASA Tech. Memo 4387)
• Maximum skin friction drag reduction up to 8% has been reported
– No numerical studies
– Unknown effects on heat transfer
Objectives
• Evaluate riblet effects on turbulent, high-speed boundary
layers using DNS
– Assess the effectiveness of riblets in reducing drag at M>1
– Investigate alteration of flow characteristics due to riblets
– Elucidate the physical mechanism by which riblets reduce drag
and influence heat transfer
• Identify differences, if any, between the drag reduction mechanisms
for incompressible and high-speed boundary layers
Flow Conditions and DNS Setup
• 7th order WENO (Jiang & Shu JCP 1996, Martin et al. JCP 2007)
• Auxiliary inflow simulation with rescaling (Xu & Martin, PhysFluids 2004)
• Principal simulation
• Lx ≈ 14δi , Lz ≈ 11δi
• 20 riblets in the spanwise direction with L+y ≈ 400
• Nx x Ny x Nz = 400 x 640 x 120 (Total: ≈30 M)
• M∞=2.5, ρ∞=0.1kg/m3, T∞ = 270 K, δi = 4.58 mm
• Reθ=1719, Reτ = 321
• Adiabatic wall
Computational ParametersRiblet Spacing
Case M∞ s+ h+ α
M25_s20 2.5 21.4 9.7 45◦
M25_s40 2.5 45.3 19.6 45◦
Effects of rib spacing on skin friction
(from Bechert, et al., JFM 1997)
Drag-reducing Configuration
Drag-increasing Configuration
• 32 grid points for each riblet surface
• Grid clustering near the riblet tips
• Tip rounded with R/s < 4%
Effects of Riblets on Skin Friction Drag
Case Cf x 103 ΔCf/Cf
M25_Clean 2.506 NA
M25_s20 2.331 -7.0%
M25_s40 2.616 +4.4%
212
wfC
u
r w x y
uD dA L L
n
Drag reduction
Drag Increase
• Sensitivity Analysis‒ Grid convergence and domain extent
‒ 32 & 64 points per riblet (≈ 0.7%)
‒ 10 & 20 riblets (≈ 1.0%)
‒ Statistical convergence (≈ 0.4%)
• Maximum numerical uncertainty in total drag ≈ 2.0%
Case: M25
Spanwise Distribution of Mean Wall Shear
TipValley
Drag Reduction MechanismsHypotheses
• The universal presence of „streaks‟ (streamwise
counter-rotating rolls) in the wall region (Kline et al. JFM 1967, Kim et al JFM 1987, Karniadakis & Choi
Annu. Rev. Fluid Mech. 2003)
– Average diameter d+≈30
– Undergo cycle of events, known as „bursts‟
• Ejection: slow-moving wall fluid entering the outer region
• Sweep: fast-moving outer fluid entering the wall region
• account for a significant portion of wall drag
• Riblets interact with near-wall streamwise vortices
– Inhibit or restrict the spanwise meandering so as to
weaken the bursting events(Choi JFM 1989, Bechert & Bartenwerfer JFM 1989,
Schwarz et al. IUTAM Symp. 1990, Karniadakis & Choi
Annu. Rev. Fluid Mech. 2003)
– shield the vortices away from the wall so as to expose
only limited surface area to downwash of high-speed
fluid (Choi et al. JFM 1993, Lee & Lee, Exp. Fluids 2001)
x i
u
Limited area affected by downwash motion
Very similar to incompressible simulations by
Choi et al. (1993)
Drag Reduction MechanismsInstantaneous Flow Fields
M25_s20: Drag Reduction
iu
n u
Drag Reduction MechanismsInstantaneous Flow Fields
Extensive area affected by downwash motion
iu
n u
M25_s40: Drag Increase
x i
u
Drag Reduction MechanismsTurbulence Statistics
BackgroundHeat Transfer
• Reynolds analogy
– Similarity in turbulent transport of momentum and heat
– Reynolds analogy factor nearly constant with RA=2Ch/Cf >1
– Experiments: 1.1 < RA < 1.3 for flat-plate turbulent Boundary Layers
(Hopkins & Inouye, AIAAJ, 1971)
• Controversial findings for riblet effects at subsonic speeds
‒ Reynolds analogy violated (Walsh & Weinstein 1979, Lindemann 1985, Choi &
Orchard, 1997)
• ΔCf < 0 while ΔCh > 0
‒ Reynolds analogy holds with increased heat transfer efficiency relative to
drag (Maciejewski & Rivir 1994, Stalio and Nobile 2003)•
• consistent with RA>1
• No studies on riblet effects on heat transfer for high-speed flows
212
wfC
u
( )
wh
p r w
qC
u C T T
/1
/
h h
f f
C C
C C
Effects of Riblets at Hypersonic Conditions
Case Cf x 103 Ch x 103 RA=2Ch/Cf ΔCf/Cf ΔCh/Ch
M72_Clean 1.054 0.618 1.17 NA NA
M72_s20 0.983 0.568 1.15 -6.8% -8.1%
• RAriblet ≈ RAflat
• /1
/
h h
f f
C C
C C
Drag Reduction Heat Reduction
• M∞=7.25, ρ∞=0.071 kg/m3, T∞ = 66 K
• Reθ=6735, Reτ = 398
• Cold wall with Tw/Tr = 0.5
• Triangular riblets with s+=19.5, h+=9.5, α=45◦
Case: M72 Spanwise Distribution of Mean Wall Shear and
Temperature Gradient
Tip ValleyValley Tip
Summary
• DNS of turbulent boundary layers over riblets in supersonic (M=2.5, adiabatic) and hypersonic (M=7.2, cold wall) regimes
• For riblets with symmetric V-grooves, skin friction drag reduction of approximately 7% is achieved under both regimes
• Flow statistics and visualizations of near-wall structures support the earlier hypothesis that riblets with small enough spacing reduce the viscous drag by restricting the location of streamwise vortices above the wetted surface so that only a limited area is exposed to the vortex induced downwash of high-speed fluid
• For the hypersonic cold wall condition, Reynolds analogy holds. Triangular riblets with s+≈20 reduce surface heat transfer by approximately 8%
Outlines
• Methodologies: DNS, LES, etc
• Sample project: DNS of high-speed boundary
layers over riblets
• Summary of other research
• Conclusions & Future work
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( )ref
NS
Summary of Past ResearchCompressibility Effects
(Duan, Beekman & Martin JFM 2011)
“eddy-shocklets”: shocks produced by the
fluctuating fields of the turbulent eddies
DNS of zero pressure gradient adiabatic boundary layer with freestream
Mach number from 0.3 to 12
Summary of Past ResearchWall Cooling Effects
(Duan, Beekman & Martin JFM 2010)
'
( ) ' '
,
'( , , )w
wu
w rms rms
u x y zR
u
VLSM model, Kim & Arian PoF 1999
Adrian et al. JFM 2000
DNS of zero pressure gradient boundary layer at Mach 5 with
Tw/Tr from 0.18 (cold wall) to 1 (adiabatic wall)
M5, Tw/Tr=0.18
M5, Tw/Tr=1.0
Summary of Past ResearchHigh-Enthalpy Effects
(Duan & Martin JFM 2011)
DNS of zero pressure gradient boundary layer with high and low
enthalpy levels representative of hypersonic flight (ht,∞≈20 MJ/kg)
and ground based facilities (ht,∞≈0.8 MJ/kg)M∞=21
T∞=226.5 K
P∞=1196 Pa
Tw/Tr≈0.13
M∞=21
T∞=226.5 K
P∞=1196 Pa
Tw/Tr≈0.13
' '
Pr
' 't
Tu w
zu
w Tz
Summary of Past ResearchTurbulence-Chemistry Interaction
(Duan & Martin AIAAJ 2011)
( , ) ( , )s sw T c w T c
' '''' '
1 1
( , ) ( ) ( ) ( )i i
ns ns
s s s s f i b i
i i
w T c M k T c k T c
M∞=21
T∞=226.5 K
P∞=1196 Pa
Tw/Tr≈0.13
M∞=21
T∞=226.5 K
P∞=1196 Pa
Tw/Tr≈0.13
Summary of Past ResearchTurbulence-Radiation Interaction
(Duan, Martin, Sohn, Levin & Modest AIAAJ 2011)
Orion Exploration Crew Vehicle (CEV) at peak heating during Earth entry:• Velocity: 9.5 km/s
• Altitude: 53 km
• Angle of attack: 18◦
( , ) ( , )R s R sq T n q T n
( , )R R sq q T n
Turbulence-Radiation Interaction
Summary of Past ResearchHypersonic Flow over a Deformed TPS Panel
Advances in Hypersonics, Bertin, Periaux, Ballmann, 1992
Summary of Past ResearchSurface Catalytic Recombination
(Pejakovic, Marschall, Duan & Martin JTHT 2008, 2010)
Quartz Diffusion-Tube Side-Arm ExperimentsExperimental calibration (measurement techniques)
Code Validation (diffusion models and boundary conditions)
Investigation of NO formation at material surface
PA PB
PMT1 PMT2 PMT3 PMT4
Partially-dissociated
gas flow
V1 V2
Titration
port
Pt
As,m
Adsorption Eley-Rideal Langmuir-Hinshelwood
A
A
A
A
A2
A
A
A
A2
A
Desorption
Surface Processes
Outlines
• Methodologies: DNS, LES, etc
• Sample project: DNS of high-speed boundary
layers over riblets
• Summary of other research
• Conclusions & Future work
Conclusions• Newly developed DNS and LES methodologies have been
introduced, which include– numerical methods
– initialization procedure
– inflow boundary condition
– SGS models
• The DNS and LES tools have been successfully applied to study multiple critical phenomena in hypersonic flows, including the effects of
– high compressibility
– wall cooling
– high enthalpy
– turbulence-chemistry interaction
– turbulence-radiation interaction
– turbulence-surface interaction
• The numerical tools have been applied to assess techniques for controlling turbulence drag and heat
Ongoing/Future ResearchMultiscale/multiphysics Simulations
• Environmentally friendly vehicle– Viscous drag reduction
• Laminar-to-turbulent transition prediction and control
• Turbulent drag reduction by surface roughness
– Emission reduction (CO2, CO, NOx, hydrocarbons, soots)• Turbulent combustion
• Turbulence-chemistry interaction
• Reactive flow modeling
Supersonic business aircraft
with natural laminar flow wing
(Kroo, VKI lecture series, 2005)
http://www.standford.edu/group/ctr/
Future ResearchMultiscale/multiphysics Simulations
• Airbreathing scramjet propulsion system– Shock wave/turbulent boundary layer interaction
– Supersonic combustion , turbulence-chemistry interaction
– Thermal management and heat transfer
Flow inside a generic scramjet engine
Courtesy of Mike Holden, CUBRC
Acknowledgment• My Ph.D. advisor
– M.P. Martin
• Current NASA Sponsor
– Meelan M. Choudari (for transitional model and turbulence flow control)
• Collaborators
– M. F Modest, D.A. Levin, A.M. Feldick & I. Sohn (for radiation modeling)
– J. Marschall & D.A. Pejakovic (for surface catalytic modeling)
– A.J. Smits & D. Sahoo (for high Mach number experimental data)
– R. Gosse (for fluid-structure interaction study)
• Funding Agencies
Thank you!
Questions?