ce16 01 - dimensional analysis and similitude

28
Fluid Mechanics for Civil Engineering II CE 16 Lecture Notes Cornelio Q. Dizon Institute of Civil Engineering College of Engineering University of the Philippines Dimensional Analysis and Similitude 1 Dimensional Analysis & Similitude

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Page 1: CE16 01 - Dimensional Analysis and Similitude

Fluid Mechanics for Civil Engineering II

CE 16 Lecture Notes

Cornelio Q. Dizon

Institute of Civil Engineering

College of Engineering

University of the Philippines

Dimensional Analysis and Similitude 1

Dimensional

Analysis

& Similitude

Page 2: CE16 01 - Dimensional Analysis and Similitude

Dimensional Analysis

• Definition : Dimensional analysis is a process of formulating fluid mechanics problems in

terms of dimensionless parameters or groups by studying the dimensions

of the quantities or variables

•Why is it used :

• Reduction in variables ( If F(A1, A2, … , An) = 0, then f(ΠΠΠΠ1, ΠΠΠΠ2, … ΠΠΠΠr < n) = 0,

where, F = functional form, Ai = dimensional variables, ΠΠΠΠj = dimensionless parameters, m = number of

important dimensions, n = number of dimensional variables, r= n – m ). Thereby the number of

experiments required to determine f vs. F is reduced.

• Based on the principle that an equation expressing a physical relationship between variables must be

dimensionally homogeneous, the dimensions on each side of the equation must be the same

• Provides qualitative rather than quantitative relationships

Dimensional Analysis and Similitude 2

• Provides qualitative rather than quantitative relationships

•When combined with experimental methods, results in accurate prediction equation

Variables in Fluid Mechanics

Boundary Geometry Fluid Flow Fluid Propertylength (L) time (T) velocity (LT-1) mass density (ML-3)area (L2) acceleration (LT-2) discharge (L3T-1) specific weight (ML-2T-2)volume (L3) force (MLT-2) pressure (ML-1T-2) absolute viscosity (ML-1T-1)

work (ML2T-2) energy (ML2T-2) elasticity (ML-1T-2)power (ML2T-3)

Page 3: CE16 01 - Dimensional Analysis and Similitude

Applications Drag = f(V, L, r, m, c, t, e, T, etc.)

From dimensional analysis,

Dimensional Analysis and Similitude 3

Vortex formed behind a cylinder

Page 4: CE16 01 - Dimensional Analysis and Similitude

Buckingham π Theorem

1. A prediction equation involving n variables in m dimensions may be reduced to a set of (n-m) dimensionless groups

– Typically: all variables required to describe the problem geometry (D) or define fluid properties (ρ, µ) and fluid flow (velocity, acceleration)

2. Express each variables in terms of MLT dimensions (m)

3. Determine the required number of dimensionless parameters (n – m)

Dimensional Analysis and Similitude 4

3. Determine the required number of dimensionless parameters (n – m)

4. Select a number of repeating variables = number of dimensions

– Each should represent boundary geometry, fluid flow and fluid property

– The most common repeating variables are Velocity, Mass Density, and a Length Parameter

5. The repeating variables are combined with each of the other nonrepeating variables and by a proper choice of exponents arrive at the dimensionless products

6. Repeat for each nonrepeating variable

7. Express result as a relationship among the dimensionless parameters

Page 5: CE16 01 - Dimensional Analysis and Similitude

Manipulation of π GroupsOnce identified manipulation of the π groups is permitted. These manipulations do not change the number

of groups involved, but may change their appearance drastically.

Taking the defining equation as: φ ( π1 , π2 , π3 ……… πn-m ) = 0

Then the following manipulations are permitted:

•Any number of groups can be combined by multiplication or division to form a new group which

replaces one of the existing. E.g. π1 and π2 may be combined to form π1a = π1 / π2 so the defining

equation becomes

Dimensional Analysis and Similitude 5

φ ( π1a , π2 , π3 ……… πn-m) = 0

•The reciprocal of any dimensionless group is valid. So φ ( π1 ,1/ π2 , π3 ……… 1/πn-m ) = 0 is valid.

•Any dimensionless group may be raised to any power. So φ ( (π1 )2, (π2 )

1/2, (π3 )3……… πn-m ) = 0 is

valid.

•Any dimensionless group may be multiplied by a constant.

•Any group may be expressed as a function of the other groups, e.g.

π2 = φ ( π1 , π3 ……… πn-m)

In general the defining equation could look like

φ ( π1 , 1/π2 ,( π3 )i……… 0.5πn-m ) = 0

Page 6: CE16 01 - Dimensional Analysis and Similitude

Example 1

• Find: Drag force on rough sphere is function

of D, ρ, µ, V and l. Express in form:

),( 213 πππ f=

FD D ρ µ V l

Dimensional Analysis and Similitude 6

MLT-2 L ML-3 ML-1T-1 LT-1 L

µρ

πρ

µπ

ρµπ

VDor

DV

bbT

acbaL

ccM

MLLTLTMLTLM

VD

cba

cba

===

−=⇒−−=

−=⇒−++−=

−=⇒+=

=

=−−−−

Re

110:

1310:

110:

)()())((

)(

11

3111000

1

n = 6 No. of dimensional parameters

m = 3 No. of dimensions

r = n - m = 3 No. of dimensionless parameters

Select “repeating” variables: D, V, and ρCombine these with nonrepeating variables: F, µ & l

Page 7: CE16 01 - Dimensional Analysis and Similitude

Example 1

FD D ρ µ V l

MLT-2 L ML-3 ML-1T-1 LT-1 L

VDl cba=2 )( ρπ

Select “repeating” variables: D, V, and ρCombine these with nonrepeating variables: F, µ & l

312000

3

110:

)()())((

)(

ccM

MLLTLMLTTLM

VDF

cba

cbaD ρπ

−=⇒+=

=

=−−−

Dimensional Analysis and Similitude 7

D

l

bbT

acbaL

ccM

MLLTLLTLM

VDl

cba

=

=⇒−=

−=⇒−++=

=⇒=

=

=−−

2

31000

2

00:

1310:

00:

)()())((

)(

π

ρπ

223

220:

2310:

110:

DV

F

bbT

acbaL

ccM

D

ρπ =

−=⇒−−=

−=⇒−++=

−=⇒+=

),(22 D

lVDf

DV

FD

µρ

ρ=

Page 8: CE16 01 - Dimensional Analysis and Similitude

Example 2

0),,,,( =µρθ VLF

ρµπ

acbaL

ccM

MLLTLTMLTLM

VL

cba

cba

−=⇒−++−=

−=⇒+=

=

=−−−−

1310:

110:

)()())((

)(

3111000

1

Force F on a body immersed in a flowing fluid depends

on: L, V, ρ, and µ

n = 5 No. of dimensional parameters

m = 3 No. of dimensions

r = n - m = 2 No. of dimensionless parameters

F L V ρ µ

Dimensional Analysis and Similitude 8

µρ

πρ

µπ

VLor

LV

bbT

acbaL

===

−=⇒−−=

−=⇒−++−=

Re

110:

1310:

11Select “repeating” variables: L, V, and ρCombine these with the rest of the variables: F & µ

Reynolds number

F L V ρ µ

MLT-2 L LT-1 ML-3 ML-1T-1

Page 9: CE16 01 - Dimensional Analysis and Similitude

110:

)()())((

)(

312000

2

ccM

MLLTLMLTTLM

VLF

cba

cba

−=⇒+=

=

=−−−

ρπ

F L V ρ µ

MLT-2 L LT-1 ML-3 ML-1T-1

Example 2

Dimensional Analysis and Similitude 9

(Re)

)(

220:

2310:

110:

22

12222

fLV

F

fandVL

F

bbT

acbaL

ccM

=

==

−=⇒−−=

−=⇒−++=

−=⇒+=

ρ

ππρ

π

Dimensionless force is a function

of the Reynolds number

Page 10: CE16 01 - Dimensional Analysis and Similitude

Dimensional Analysis and Similitude 10

Page 11: CE16 01 - Dimensional Analysis and Similitude

Dimensional Analysis and Similitude 11

Page 12: CE16 01 - Dimensional Analysis and Similitude

Example 3

Dimensional Analysis and Similitude 12

Page 13: CE16 01 - Dimensional Analysis and Similitude

Dimensional Analysis and Similitude 13

1 1 22

1 2 .5 12 lo g

3 .7 R e

k D

ff

= − +

Page 14: CE16 01 - Dimensional Analysis and Similitude

Common Dimensionless Numbers

• Reynolds Number (inertial to viscous forces)

– Important in all fluid flow problems

• Froude Number (inertial to gravitational forces)

– Important in problems with a free surface

µρVd

=Re

gy

VFr =

Dimensional Analysis and Similitude 14

• Euler Number (pressure to inertial forces)

– Important in problems with pressure differences

• Mach Number (inertial to elastic forces)

– Important in problems with compressibility effects

• Weber Number (inertial to surface tension forces)

– Important in problems with surface tension effects

gy

c

V

K

VM ==

ρ/

σρ 2LV

W =

2V

pEu ρ

∆=

Page 15: CE16 01 - Dimensional Analysis and Similitude

Similitude: Prototype and Model

Dimensional Analysis and Similitude 15

• Scales: model and prototype (full-scale)

• Selection of the model scale: governed by dimensional analysis and similitude

Page 16: CE16 01 - Dimensional Analysis and Similitude

Physical Models

Dimensional Analysis and Similitude 16

Page 17: CE16 01 - Dimensional Analysis and Similitude

Similitude• Definition : Flow conditions for a model test are completely similar if all significant

dimensionless parameters have the same corresponding values for model and prototype.

� ΠΠΠΠi model = ΠΠΠΠi prototype

� Enables conversion of measured quantities from model to prototype

values

� However, complete similarity usually is not possible. Therefore, often it is

necessary to use Re, or Fr, or M scaling, i.e., select most important ΠΠΠΠ and

accommodate others as best possible

Models in Fluid Mechanics

Dimensional Analysis and Similitude 17

� Mathematical Models

� Physical Models – undistorted, distorted

• Similitude between Model and Prototype

� Geometric Similarity : all body dimensions in all three coordinates have the

same linear-scale ratios. Ratio of linear dimensions

� Kinematic Similarity : homologous (same relative position) particles lie at

homologous points at homologous times. Ratio of velocity components

� Dynamic Similarity : in addition to the requirements for kinematic similarity

the model and prototype forces ratio must be in a constant. Ratio of

homologous forces

Page 18: CE16 01 - Dimensional Analysis and Similitude

Similitude

• Similitude

– Predict prototype behavior from

model results

– Models resemble prototype, but are

• Different size (usually smaller)

and may operate in

Dimensional Analysis and Similitude 18

and may operate in

• Different fluid and under

• Different conditions

– Problem described in terms of

dimensionless parameters which

may apply to the model or the

prototype

– Suppose it describes the prototype

– A similar relationship can be written

for a model of the prototype

)321 ,...,,( nf ππππ =

)321 ,...,,( npppp f ππππ =

)321 ,...,,( nmmmm f ππππ =

Page 19: CE16 01 - Dimensional Analysis and Similitude

Similitude

• If the model is

designed & operated

under conditions that

npnm

pm

pm

ππ

ππ

ππ

=

=

=

...

33

22

Similarity

requirements or

modeling laws

Dimensional Analysis and Similitude 19

• then

npnm ππ =

pm 11 ππ = Dependent variable

for prototype will be

the same as in the

model

Page 20: CE16 01 - Dimensional Analysis and Similitude

Dimensional Analysis and Similitude 20

Page 21: CE16 01 - Dimensional Analysis and Similitude

µρVd

=Re

gy

VFr =

ρ/K

VM =

σρ 2LV

W =

Dimensional Analysis and Similitude 21

2V

pEu ρ

∆=

σ

Page 22: CE16 01 - Dimensional Analysis and Similitude

Dimensional Analysis and Similitude 22

Page 23: CE16 01 - Dimensional Analysis and Similitude

Similitude Ratios for Flow Variables

� Having decided on the Model Law, similitude ratios for

the various flow variables are determined in terms of the

Length Ratio LR

� Velocity Ratio corresponds to the Model Law

� With pressure computations, the Euler criteria is satisfied

Dimensional Analysis and Similitude 23

� With pressure computations, the Euler criteria is satisfied

p

p

m

m

p

m

p

pp

m

mm

pm

VL

LV

LVLV

νν

νν

=

=

= ReReFor example,

using Reynold’s Law

Page 24: CE16 01 - Dimensional Analysis and Similitude

Similitude Ratios Using Froude’s Law

Dimensional Analysis and Similitude 24

Page 25: CE16 01 - Dimensional Analysis and Similitude

Example• Consider predicting the drag on a

thin rectangular plate (L*B) placed

normal to the flow.

• Drag is a function of: B, L, µ, ρ, V

),,,,( BLVfFD µρ=

),(

),(

22

321

µρ

ρ

πππ

VL

B

Lf

VL

F

f

D =

=• Dimensional analysis shows:

• And this applies BOTH to a model

and a prototype

Dimensional Analysis and Similitude 25

),(

),(

22

321

m

mmm

m

m

mmm

Dm

mmm

LV

B

Lf

VL

F

f

µρ

ρ

πππ

=

=

),(

),(

22

321

p

ppp

p

p

ppp

Dp

ppp

LV

B

Lf

VL

F

f

µ

ρ

ρ

πππ

=

=

and a prototype

• We can design a model to predict the

drag on a prototype.

• Model will have:

• And the prototype will have:

Page 26: CE16 01 - Dimensional Analysis and Similitude

Example•Similarity conditions

Geometric similarity

Dynamic similarity

p

p

mm

p

p

m

mpm L

B

BL

B

L

B

L=⇒== 22 ππ Gives us the size of the model

Dimensional Analysis and Similitude 26

p

m

p

m

p

p

mm

p

ppp

m

mmmpm V

L

LV

LVLV

ρ

ρ

µµ

µ

ρ

µρ

ππ =⇒== 33

Dm

m

p

m

p

m

p

Dp

ppp

Dp

mmm

Dmpm F

V

V

L

LF

VL

F

VL

F22

222211

=⇒==

ρ

ρ

ρρππ

Dynamic similarity

Then Gives us the velocity in the model

Page 27: CE16 01 - Dimensional Analysis and Similitude

Example

• Given: Submarine moving below surface in

sea water

(ρ=1015 kg/m3, ν=µ/ρ=1.4x10-6 m2/s).

Model is 1/20-th scale in fresh water (20oC).

• Find: Speed of water in the test for dynamic

similarity and the ratio of drag force on 22

2222=

mmmm

ppp

p

mmm

m

lVF

lV

F

lV

F

ρ

ρρ

Dimensional Analysis and Similitude 27

similarity and the ratio of drag force on

model to that on prototype.

• Solution: Reynolds number is significant

parameter.

smV

sm

VL

LV

LVLV

m

pp

m

m

pm

p

pp

m

mm

pm

/6.28

/24.1

1

1

20

ReRe

=

=

=

=

=

νν

νν504.0

20

1

2

6.28

1015

100022

22

22

=

=

=

p

m

ppp

mmm

p

m

F

F

lV

lV

F

F

ρ

ρ

Page 28: CE16 01 - Dimensional Analysis and Similitude

Sample Problems

Dimensional Analysis and Similitude 28