Title: Dimensional Reasoning
1Dimensional Reasoning
2Dimensions and Measurements
- Dimension is characteristic of the object,
condition, or event and is described
quantitatively in terms of defined units. - A physical quantity is equal to the product of
two elements - A quality or dimension
- A quantity expressed in terms of units
- Dimensions
- Physical things are measurable in terms of three
primitive qualities (Maxwell 1871) - Mass (M)
- Length (L)
- Time (T)
- Note (Temperature, electrical charge, chemical
quantity, and luminosity were added as
primitives some years later.)
3Dimensions and Measurements (cont.)
- Examples
- Length (L)
- Velocity (L/T)
- Force (ML/T2)
- Units
- Measurements systems--cgs, MKS, SI--define units
- SI units are now the international standard
(although many engineers continue to use Imperial
or U.S.)
4SI Primitives
DIMENSION UNIT SYMBOL for UNIT
Length meter m
Mass kilogram kg
Time second s
Elec. Current ampere A
luminous intensity candela cd
amount of substance mole mol
5SI Derived units
DESCRIPTION DERIVED UNIT SYMBOL DIMENSION
Force newton N mkg/s2
Energy joule J m2kg/s2
Pressure pascal Pa kg/(ms2)
Power watt W m2kg/s3
6Dimensional analysis
- Fundamental rules
- All terms in an equation must reduce to identical
primitive dimensions - Dimensions can be algebraically manipulated, e.g.
- Example
- Uses
- Check consistency of equations
- Deduce expression for physical phenomenon
7Dimensional analysis
distance s s0 vt2 0.5at3 constant p
?gh ?v2/2 volume of a torus 2p2(Rr)2
8Deduce expressions
- Example What is the period of oscillation for a
pendulum? - Possible variables length l L, mass m M,
gravity g - i.e. period P f(l , m, g)
-
- Period T , so combinations of variables
must be equivalent to T . -
9Dimensional analysis (cont.)
- Example What is the period of oscillation for a
pendulum? - Possible variables length l L, mass m M,
gravity g - i.e. period P f(l , m, g)
-
- Period T , so combinations of variables
must be equivalent to T . - Only possible combination is
- Note mass is not involved
10Quantitative considerations
- Each measurement carries a unit of measurement
- Example it is meaningless to say that a board is
3 long. 3 what? Perhaps 3 meters long. - Units can be algebraically manipulated (like
dimensions) - Conversions between measurement systems can be
accommodated, e.g., 1 m 100 cm, - or or
-
- Example
11Quantitative considerations (cont.)
- Arithmetic manipulations between terms can take
place only with identical units. - Example
- but,
12Buckingham Pi Theorem (1915)
- Pi theorem tells how many dimensionless groups
define a problem. - Theorem If n variables are involved in a
problem and these are expressed using k primitive
dimensions, then (n-k) dimensionless groups are
required to characterize the problem. - Example in the pendulum, the variables were
time T, - gravity L/T2, length L, mass M . So, n
4 k 3. So, only one dimensionless group
describes the system.
13Buckingham Pi Theorem (cont.)
- How to find the dimensional groups
- Pendulum example
- where a,b,c,d are coefficients to be determined.
- In terms of dimensions
-
-
14Buckingham Pi Theorem (cont.)
- Therefore
- a - 2c 0
- b c 0
- d 0
-
- Arbitrarily choose a 1. Then b -1/2, c
1/2, d 0. - This yields
15Buckingham Pi Theorem (cont.) Oscillations of a
star
A star undergoes some mode of oscillation. How
does the frequency of oscillation ? depend upon
the properties of the star? Certainly the density
? and the radius R are important we'll also need
the gravitational constant G which appears in
Newton's law of universal gravitation. We could
add the mass m to the list, but if we assume that
the density is constant, then m ?(4pR3/3) and
the mass is redundant. Therefore, ? is the
governed parameter, with dimensions ? T-1,
and (? R G) are the governing parameters, with
dimensions ? ML-3, R L, and G
M-1L3T-2 (check the last one). You can easily
check that (? RG) have independent dimensions
therefore, n 3 k 3, so the function F is
simply a constant in this case. Next, determine
the exponents ? T-1 ?aRbGc
Ma-cL-3ab3cT-2c Equating exponents on both
sides, we have a - c 0 -3a b 3c 0 -2c
-1 Solving, we find a c 1/2, b 0, so that ?
C(Gs)1/2, with C a constant. We see that the
frequency of oscillation is proportional to the
square root of the density, and independent of
the radius.
16Dimensionless Quantities
- Dimensional quantities can be made
dimensionless by normalizing them with
respect to another dimensional quantity of the
same dimensionality. - Example speed V (m/s) can be made
"dimensionless by dividing by the velocity of
sound c (m/s) to obtain M V/c, a dimensionless
speed known as the Mach number. Mgt1 is faster
than the speed of sound Mlt1 is slower than the
speed of sound. - Other examples percent, relative humidity,
efficiency - Equations and variables can be made
dimensionless, e.g., Cd 2D/(?v2A) - Useful properties
- Dimensionless equations and variable are
independent of units. - Relative importance of terms can be easily
estimated. - Scale (battleship or model ship) is automatically
built into the dimensionless expression.
17Dimensionless quantities (cont.)
- Reduces many problems to a single problem through
normalization. - Example Convert a dimensional stochastic
variable x to a - non-dimensional variable
- to represent its position with respect to a
Gaussian curve--N(0,1), - e.g., grades on an exam
18Proof of the Pythagorean Theorem
The area of any triangle depends on its size and
shape, which can be unambiguously identified by
the length of one of its edges (for example, the
largest) and by any two of its angles (the third
being determined by the fact that the sum of all
three is p). Thus, recalling that an area has the
dimensions of a length squared, we can
write area largest edge2 f (angle1,
angle2), where f is an nondimensional function of
the angles. Now, referring to the figure at
right, if we divide a right triangle in two
smaller ones by tracing the segment perpendicular
to its hypotenuse and passing by the opposite
vertex, and express the obvious fact that the
total area is the sum of the two smaller ones, by
applying the previous equation we have c2 f
(a, p/2) a2 f (a, p/2) b2 f (a,
p/2). And, eliminating f c2 a2 b2, Q.E.D.
19Scaling, modeling, similarity
- Types of similarity between two
objects/processes. - Geometric similarity linear dimensions are
proportional angles are the same. - Kinematic similarity includes proportional time
scales, i.e., velocity, which are similar. - Dynamic similarity includes force scale
similarity, i.e., equality of Reynolds number
(inertial/viscous), Froud number
(inertial/buoyancy), Rossby number
(inertial/Coriolis), Euler number
(inertial/surface tension).
20Scaling, modeling, similarity
- Distorted models
- Sometimes its necessary to violate geometric
similarity A 1/1000 scale model of the
Chesapeake Bay is ten times as deep as it should
be, because the real Bay is so shallow that, with
proportional depths, the average model depth
would be 6mm, too shallow to exhibit stratified
flow.
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22Scaling, modeling, similarity
- Scaling
- Whats the biggest elephant? If one tries to
keep similar geometric proportions, weight ? L3,
where L is a characteristic length, say height. - However, an elephants ability to support his
weight is proportional to the cross-sectional
area of his bones, say R2. - Therefore, if his height doubles, his bones would
have to increase in radius as 2?2 R, not 2R. - Note A cross-section of 8 R2 (2?2 R)2.
So, with increasing size, an elephant will
eventually have legs whose cross-sectional area
will extend beyond its body
23Biological scaling