on the forcing term in the dns of a turbulent channel flow · on the forcing term in the dns of a...

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On the forcing term in the DNS of a turbulent channel flow Maurizio Quadrio 1 , Bettina Frohnapfel 2 , Yosuke Hasegawa 3 1 Politecnico di Milano 2 Karlsruhe Institute of Technology 3 University of Tokyo Rome, Sept 20, 2014 My best wishes to P.O.!

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On the forcing term in the DNS of a turbulentchannel flow

Maurizio Quadrio1, Bettina Frohnapfel2, Yosuke Hasegawa3

1Politecnico di Milano2Karlsruhe Institute of Technology

3University of Tokyo

Rome, Sept 20, 2014My best wishes to P.O.!

The need for a forcing term in DNS

• NS equations alone cannot push fluid through the duct• Forcing term must be added to mimick pump / gravity / etc

Forcing term is "arbitrary"

• Popular choices are constant flow rate (CFR) and constantpressure gradient (CPG)

• Often equivalent on physical grounds• Known difference on practical grounds• Different realizations, statistics are the same

Important when comparing two different flowsExample: turbulent drag reduction by spanwise oscillating walls

"Turbulence intensity is destroyed"

Important when comparing two different flowsExample: turbulent drag reduction by spanwise oscillating walls

"Turbulence intensity is destroyed"

Important when comparing two different flowsExample: turbulent drag reduction by spanwise oscillating walls

"Turbulence intensity is destroyed"

Important when comparing two different flowsExample: turbulent drag reduction by spanwise oscillating walls

"Turbulence intensity is destroyed"

CFR or CPG?Pre-determines the global energy budget for drag reduction

• Potential source of confusion• Concerns both DNS and experiments• CFR: pumping power is reduced with drag reduction• CPG: pumping power is increased with drag reduction

A further option: CPIThe Money-vs-Time plane (JFM 2012, 2014)

Question

Does the choice of the forcing termaffect the statisticsof the same flow?

Finding the answer

• Large spatio-temporal DNS channel databases for CFR,CPG, CPI

• DNS code: mixed-discretization solver• Channel flow at Reτ ≈ 200• Lx ×Ly ×Lz = 4πh×2h×2πh• ∆x+ = 9.6 ∆z+ = 4.8 ∆y+ = 0.8−4.9• Sample size: T + = 100,000 at ∆t+ = 1

No obvious changes (obviously!)

forcing term flow driven with measuredCFR Reb = 3173 Reτ = 199.01CPG Reτ = 200 Reτ = 199.89CPI ReΠ = 6500 Reτ = 199.49

y+

U

0 50 100 1500

5

10

15

20

CFR

CPGCPI

y+

u’ rm

s

0 50 100 150 2000

0.5

1

1.5

2

2.5

3

CFR

CPGCPI

Focus on wall frictionComparison with Lenaers et al, PoF 2012

σ

P(τ

w’)

­4 ­2 0 2 410

­6

10­5

10­4

10­3

10­2

10­1

100

101

102

CFR

CPG

CPI

An in-depth look

σ

P(τ

w’)

­15 ­10 ­5 0 5 10 1510

­9

10­8

10­7

10­6

10­5

10­4

10­3

10­2

10­1

100

CFR

CPG

CPI

Space-time autocorrelation of wall frictionRed: CFR; black: CPG; green: CPI

∆t+

∆x/h

0 50 100 150 200 250 3000

2

4

6

8

10

12

Differences appear in Lagrangian frame only!One-dimensional space or time correlations are mostly unaffected

∆x/h

R

0 2 4 60

0.2

0.4

0.6

0.8

1

CFR

CPG

CPI

∆t+

R

0 50 100 150 200 250 3000

0.2

0.4

0.6

0.8

1

CFR

CPG

CPI

Statistical significance?

∆t+

∆x/h

0 50 100 150 200 250 3000

2

4

6

8

10

12

Link to vortical structures?

Integral timescale of "lagrangian" correlation: lifetime ofnear-wall structures

∆t+

R

0 50 100 150 200 2500

0.2

0.4

0.6

0.8

1

CFR

CPG

CPI

Conclusions

• Choice of forcing term does leave a statistical footprint• Most evident (so far) in lagrangian frame• Relevance?

A 18-years-old pair of skiesGratefully remembering my first workshop in Aussois (1997), organized by P.O.