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ECIV 301
Programming & Graphics
Numerical Methods for Engineers
Lecture 2
Mathematical Modeling and Engineering Problem Solving
Objectives
• Introduce Mathematical Modeling
• Analytic vs. Numerical Solution
Problem Solving Process
Understanding of Physical Problem
Observation and Experiment
Repetition of empirical studies
Fundamental Laws
Problem Solving Process
Physical Problem
Mathematical Model
Data Theory
Numeric or Graphic Results
Implementation
Mathematical Model
A formulation or equation that expresses the essential features of a physical system or process in mathematical terms
Dependent Variable = f
Independent Variables
Forcing FunctionsParameters
Mathematical ModelDependent Variable
Reflects System Behavior
Independent VariableDimensions Space & Time
ParametersSystem Properties & Composition
Forcing FunctionExternal Influences acting on system
Mathematical Model
Change = Increase - Decrease
Change 0 : Transient Computation
Change = 0 : Steady State Computation
Expressed in terms of
Mathematical Model
Fundamental Laws
• Conservation of Mass
• Conservation of Momentum
• Conservation of Energy
A Simple ModelDependent Variable
Velocity (v)
Independent VariableTime (t)
ParametersMass (m), Shape (s)
Forcing FunctionGravity, Air resistance
Fu
FD
A Simple ModelFundamental Law
Conservation of MomentumForce Balance
(+)
FD
mgFD Fi
dt
dvmFi
Fu
cvFu c=Drag Coefficient
A Simple Model
0 Dui FFF
0 mgcvdt
dvm
vm
cg
dt
dv
Fu
FD
Fi
A Simple Model
Describes system in Mathematical Terms
Represents an Idealization and Simplificationignores negligible detailsfocuses on essential features
Yields Reproducible Resultsuse for predictive purposes
Analytic vs Numerical Solution
vm
cg
dt
dv
tm
c
ec
gmv 1
Analytic Solution
Analytic vs Numerical Solutionm=68.1 kg
c=12.5 kg/s
g=9.8 m/s2
t 0
t (s) v (m/s)
0.0 0.0
2 16.40
4 27.77
6 35.64
8 41.10
10 44.87
12 47.49
53.39
tm
c
ec
gmv 1
Analytic Solution
Analytic vs Numerical Solution
0
15
30
45
60
0 10 20 30 40
Time (s)
Ve
loc
ity
(m
/s)
Transient Steady State
Practical purposes
Analytic vs Numerical Solution
Numerical Solutions
Techniques by which mathematical problems are formulated so that they can
be solved with arithmetic operations
Analytic vs Numerical Solution
Start from Governing Equation
vm
cg
dt
dv
Derivative = Slope
Analytic vs Numerical Solution
vi
ti
True Slope
Analytic vs Numerical SolutionUse Finite Difference to Approximate Derivative
vi
ti ti+1
vi+1
True Slope
Approximate Slope
ii
ii
tt
tvtv
dt
dv
1
1
Analytic vs Numerical Solution
vm
cg
dt
dv
ii
ii
tt
tvtv
dt
dv
1
1
iii
ii tvm
cg
tt
tvtv
1
1
Analytic vs Numerical Solution
iiiii tttvm
cgtvtv
11
Numerical Solution
SlopeNew Value
Old Value Step Size
Euler Method
Analytic vs Numerical SolutionProcedure
1. Select a sequence of time nodes
2. Define initial conditions(e.g. v(t=0) )
3. For each time node evaluate
iiiii tttvm
cgtvtv
11
Analytic vs Numerical Solution
0
15
30
45
60
0 5 10 15 20 25
Time (s)
Ve
loc
ity
(m
/s)
Analytic Solution
Numerica Solutionl
t (s) v (m/s)
0.0 0
2 19.6
4 32
6 39.85
8 44.82
10 47.97
12 49.96
HomeworkProblems 1.6, 1.8
Also Resolve parachutist problem using the numerical solution developed in class with: (a) Time intervals 1 (s), (b) Time intervals 0.5 (s), for the first ten sec. of free fall. Plot the solutions and discuss the error as compared to the analytic solution
DUE DATE: Wednesday September 3.