da_talk
TRANSCRIPT
-
7/28/2019 DA_Talk
1/18
DIMENSIONAL ANALYSIS
Is that all there is?
W. J. Wilson
Department of Physics and Engineering
University of Central OklahomaEdmond, Oklahoma 73034-5209
(The Secrets of Physics Revealed)
-
7/28/2019 DA_Talk
2/18
Outline
A. Whats the secret of being a Scientist or an Engineer?
B. What are Units and Dimensions anyway?
C. What is Dimensional Analysis and why should I care?
D. Why arent there any mice in the Polar Regions?
E. Why was Gulliver driven out of Lillipute?F. What if Pythagorus had known Dimensional Analysis?
G. But what do I really need to know about Dimensional
Analysis so that I can pass the test?
H. Can I get into trouble with Dimensional Analysis? Theballad of G.I. Taylor.
I. But can it be used in the Lab ?
-
7/28/2019 DA_Talk
3/18
How to be a Scientist or Engineer
The steps in understanding and/or control
any physical phenomena is to
1. Identify the relevant physical variables.2. Relate these variables using the known
physical laws.
3. Solve the resulting equations.
Secret #1: Usually not all of these are
possible. Sometimes none are.
-
7/28/2019 DA_Talk
4/18
ALL IS NOT LOST BECAUSE OF
Physical laws must be independent of
arbitrarily chosen units of measure. Nature
does not care if we measure lengths in
centimeters or inches or light-years or
Check your units! All natural/physical
relations must be dimensionally correct.
Secret #2: Dimensional Analysis
Rationale
-
7/28/2019 DA_Talk
5/18
Dimensional AnalysisDimensional Analysis refers to
the physical nature of the
quantity and the type of unit
(Dimension) used to specify it.
Distance has dimension L.
Area has dimension L2.
Volume has dimension L3.
Time has dimension T.
Speed has dimension L/T
-
7/28/2019 DA_Talk
6/18
Why are there no smallanimals in the polar regions?
Heat Loss Surface Area (L2)
Mass Volume (L3)
Heat Loss/Mass Area/Volume
= L2/ L3= L-1
-
7/28/2019 DA_Talk
7/18
Heat Loss/Mass Area/Volume
= L2/ L3
= L-1
Mouse (L = 5 cm)
1/L = 1/(0.05 m)
= 20 m-1
Polar Bear (L = 2 m)
1/L = 1/(2 m)= 0.5 m-1
20 : 0.5 or 40 : 1
-
7/28/2019 DA_Talk
8/18
Gullivers Travels: Dimensional Analysis
Gulliver was 12x the Lilliputians
How much should they feed him?
12x their food ration?
A persons food needs are
related to their mass
(volume)This dependson the cube of the linear
dimension.
-
7/28/2019 DA_Talk
9/18
Gulliver is 12x taller than theLilliputians, LG=12 LL
Now VG (LG)3 and VL (LL)3, so
VG / VL = (LG)3 / (LL)
3= (12 LL)
3 / (LL)3
= 123= 1728
Gulliver needs to be fed 1728times the amount of food eachday as the Lilliputians.
Let LG and VG denote Gullivers linear and volume dimensions.
Let LL and VL denote the Lilliputians linear and volume dimensions.
This problem has direct relevance to drug dosages in humans
-
7/28/2019 DA_Talk
10/18
Pythagorean Theorem
Area =F(q) c2
A1 =F(q) b2
A2=F(q) a2
Area = A1 +A2
F(q) c2
=F(q) a2
+F(q) b2
c2= a2+b2
ca
b
qq A1
A2
-
7/28/2019 DA_Talk
11/18
Dimensions of Some CommonPhysical Quantities
[x], LengthL
[m], MassM
[t], TimeT
[v], VelocityLT-1
[a], AccelerationLT-2
[F], ForceMLT-2
[r], Mass DensityML-3[P], PressureML-1T-2
[E], EnergyML2
T-2
[I], Electric CurrentQT-1
[q], Electric ChangeQ
[E], Electric Field - MLQT
-2
All are powers of the fundamental dimensions:
[Any Physical Quantity] = MaLbTcQd
-
7/28/2019 DA_Talk
12/18
Dimensional Analysis Theorems
Dimensional Homogeneity Theorem: Anyphysical quantity is dimensionally a power lawmonomial - [Any Physical Quantity] = MaLbTcQd
Buckingham Pi Theorem: If a system has kphysical quantities of relevance that depend on
depend on rindependent dimensions, then thereare a total ofk-rindependent dimensionlessproducts p1, p2, , pk-r. The behavior of thesystem is describable by a dimensionless equation
F(p1, p
2, , p
k-r
)=0
-
7/28/2019 DA_Talk
13/18
Exponent Method1. List all kvariables involved in the problem
2. Express each variables in terms of [M] [L] [T ]dimensions (r)
3. Determine the required number of dimensionlessparameters (kr)
4. Select a number of repeating variables = r(All dimensions must be included in this set and eachrepeating variable must be independent of the others.)
5. Form a dimensionless parameterpby multiplying one ofthe non-repeating variables by the product of the
repeating variables, each raised to an unknown exponent.6. Solved for the unknown exponents.
7. Repeat this process for each non-repeating variable
8. Express result as a relationship among the dimensionless
parametersF(p
1,p
2,p
3, ) = 0.
-
7/28/2019 DA_Talk
14/18
G. I. Taylors 1947 Analysis
Published
U.S.
Atomic
Bomb was
18 kiloton
device
-
7/28/2019 DA_Talk
15/18
Nuclear Explosion Shock Wave
r f(E,r,t)
5/15/25/1
5/15/25/1
1
322000
1
5
220:
5
13210:
0:
)()())((
)(
rrp
rp
tE
RtRE
bbaT
acaL
accaM
MLTTMLLTLM
tEr
cba
cba
The propagation of a nuclear
explosion shock wave depends on:E,
r,r, and t.
n = 4 No. of variables
r= 3 No. of dimensions
n r = 1 No. of dimensionless parameters
Select repeating variables:
E, t, andrCombine these with the rest of the
variables: r
E r r t
ML2T-2 ML-3 L T
5/15/25/15/15/25/1
11 0)(
rr
pp
tECRCtE
R
CF
5/12
r
EtCR
-
7/28/2019 DA_Talk
16/18
r 1 kg/m3
R = (E/r)1/5t2/5
logR = 0.4 log t+0.2 log(E/r)
0.2 log(E/r) 1.56
E= 7.9x1013 J= 19.8 kilotons TNT
Blast Radius vs Time
log R = 0.4058 log t + 1.5593
1
2
3
-2 -1 0 1 2
log (t)
log(R)
-
7/28/2019 DA_Talk
17/18
Dimensional Analysis in the Lab Want to study pressure drop as
function of velocity (V1) and
diameter (do)
Carry out numerous experiments
with different values ofV1 and do
and plot the data
5 parameters:Dp,r, V1, d1, do
2 dimensionless parameter groups:
DP/(rV2/2), (d1/do)
p1
p0
V1
A1
V0A0
Much easier to establish functional relations with 2 parameters, than 5
DP r V1 d1 d2
ML-1T-2 ML-3 LT-1 L L
-
7/28/2019 DA_Talk
18/18
References1. G. I. Barenblatt, Scaling, Self-Similarity, and Intemediate Asymptotics
(Cambridge Press, 1996).
2. H. L. Langhaar, Dimensional Analysis and the Theory of Models (Wiley,
1951).
3. G. I. Taylor, The Formation of a Blast Wave by a Very Intense Explosion.The Atomic Explosion of 1945,Proc. Roy Soc. LondonA201, 159 (1950).
4. L. D. Landau and E.M. Lifshitz, Fluid Mechanics (Pergamon Press, 1959).
Section 62.
5. G. W. Blumen and J. D. Cole, Similarity Methods for Differential Equations
(Springer-Verlag, 1974).
6. E. Buckingham, On Physically Similar Systems: Illustrations of the Use of
Dimensional Equations,Phys. Rev. 4, 345 (1921).