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1 Pipes! 1 Reynolds’ Experiment 2 https://www.youtube.com/watch?v=oApDhs4xtaY

lecture 02 notes - BYU · 2 Turbulent Pipe Flow 3 G.K. El Khoury et al., Flow Turbulence, and Combustion, 91:475-495 (2013) Flow Simulation 4

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Page 1: lecture 02 notes - BYU · 2 Turbulent Pipe Flow 3 G.K. El Khoury et al., Flow Turbulence, and Combustion, 91:475-495 (2013) Flow Simulation 4

1

Pipes!1

Reynolds’ Experiment2

https://www.youtube.com/watch?v=oApDhs4xtaY

Page 2: lecture 02 notes - BYU · 2 Turbulent Pipe Flow 3 G.K. El Khoury et al., Flow Turbulence, and Combustion, 91:475-495 (2013) Flow Simulation 4

2

Turbulent Pipe Flow3

G.K. El Khoury et al., Flow Turbulence, and Combustion, 91:475-495 (2013)

Flow Simulation4

Page 3: lecture 02 notes - BYU · 2 Turbulent Pipe Flow 3 G.K. El Khoury et al., Flow Turbulence, and Combustion, 91:475-495 (2013) Flow Simulation 4

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Analyse the Data

• Have profiles of velocity: u(x)– Lots of instantaneous values– Want the statistics

• Mean• RMS

• Excel– Load data file: pipe_data.txt

• columns are x, u1, u2, …– Plot data– Apply functions

• Try flipping and mirroring the data…

5

Experimental Comparison6

From S.B. Pope, Turbulent Flows

Page 4: lecture 02 notes - BYU · 2 Turbulent Pipe Flow 3 G.K. El Khoury et al., Flow Turbulence, and Combustion, 91:475-495 (2013) Flow Simulation 4

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Compare the Data to Correlations

• u+ = u/ut• (R-r)+ = (R-r)/d• Here, ut=1, d=0.001• Compare to correlations:

K=0.41, B=5.2– Plot u+ vs ln(R-r)+

7

u+ =1

ln (R� r)+ +Bu+ = ln(R� r)+