CASE STUDY IT’S A REAL DRAG CASE STUDY continued
1.4 CASE STUDY continued
or in terms of the lumped drag: F d = −c d v|v| 1.20 Thus, the differential equation to be solved is dv dt = g − c d m v|v| 1.21 In order to determine the jumper’s position, we recognize that distance travelled, x m, is related to velocity by d x dt = −v 1.22 In contrast to velocity, this formulation assumes that upward distance is positive. In the same fashion as Eq. 1.12, this equation can be integrated numerically with Euler’s method: x i + 1 = x i − vt i t 1.23 Assuming that the jumper’s initial position is defined as x0 ⫽ 0, and using the parame- ter values from Examples 1.1 and 1.2, the velocity and distance at t ⫽ 2 s can be computed as v 2 = −40 + 9.81 − 0.25 68.1 − 4040 2 = −8.6326 ms x 2 = 0 − −402 = 80 m Note that if we had used the incorrect drag formulation, the results would be ⫺32.1274 ms and 80 m. The computation can be repeated for the next interval t ⫽ 2 to 4 s: v 4 = −8.6326 + 9.81 − 0.25 68.1 − 8.63268.6326 2 = 11.5346 ms x 4 = 80 − −8.63262 = 97.2651 m The incorrect drag formulation gives –20.0858 ms and 144.2549 m. The calculation is continued and the results shown in Fig. 1.7 along with those obtained with the incorrect drag model. Notice that the correct formulation decelerates more rapidly because drag always diminishes the velocity. With time, both velocity solutions converge on the same terminal velocity because eventually both are directed downward in which case, Eq. 1.7 is correct. However, the impact on the height prediction is quite dramatic with the incorrect drag case resulting in a much higher trajectory. This case study demonstrates how important it is to have the correct physical model. In some cases, the solution will yield results that are clearly unrealistic. The current exam- ple is more insidious as there is no visual evidence that the incorrect solution is wrong. That is, the incorrect solution “looks” reasonable. 1.4 CASE STUDY 191.4 CASE STUDY continued
FIGURE 1.7 Plots of a velocity and b height for the free-falling bungee jumper with an upward negative initial velocity generated with Euler’s method. Results for both the correct Eq. 1 20 and incorrect Eq. 1.7 drag formulations are displayed. v , ms 20 40 –40 –20 60 4 8 12 t, s Correct drag Incorrect drag a Velocity, ms b Height, m 100 200 –200 –100 4 8 12 t, s x , m Incorrect drag Correct drag PROBLEMS1.1 Use calculus to verify that Eq. 1.9 is a solution of
Eq. 1.8 for the initial condition v 0 ⫽ 0. 1.2 Use calculus to solve Eq. 1.21 for the case where the ini- tial velocity is a positive and b negative. c Based on your results for a and b, perform the same computation as in Ex- ample 1.1 but with an initial velocity of ⫺40 ms. Compute values of the velocity from t ⫽ 0 to 12 s at intervals of 2 s. Note that for this case, the zero velocity occurs at t ⫽ 3.470239 s.1.3 The following information is available for a bank account:
Date Deposits Withdrawals Balance 51 1512.33 220.13 327.26 61 216.80 378.61 71 450.25 106.80 81 127.31 350.61 91 Note that the money earns interest which is computed as Interest = i B i where i ⫽ the interest rate expressed as a fraction per month, and B i the initial balance at the beginning of the month. a Use the conservation of cash to compute the balance on 61, 71, 81, and 91 if the interest rate is 1 per month i ⫽ 0.01month. Show each step in the computation. b Write a differential equation for the cash balance in the form d B dt = f [Dt, W t, i] where t ⫽ time months, Dt ⫽ deposits as a function of time month, Wt ⫽ withdrawals as a function of time month. For this case, assume that interest is compounded continuously; that is, interest ⫽ iB. c Use Euler’s method with a time step of 0.5 month to simulate the balance. Assume that the deposits and with- drawals are applied uniformly over the month. d Develop a plot of balance versus time for a and c. 1.4 Repeat Example 1.2. Compute the velocity to t = 12 s, with a step size of a 1 and b 0.5 s. Can you make any statement regarding the errors of the calculation based on the results?1.5 Rather than the nonlinear relationship of Eq. 1.7, you
might choose to model the upward force on the bungee jumper as a linear relationship: F U = −c ′ v where c ′ = a first-order drag coefficient kgs. a Using calculus, obtain the closed-form solution for the case where the jumper is initially at rest v = 0 at t = 0. b Repeat the numerical calculation in Example 1.2 with the same initial condition and parameter values. Use a value of 11.5 kgs for c ′ .1.6 For the free-falling bungee jumper with linear drag
Prob. 1.5, assume a first jumper is 70 kg and has a drag co- efficient of 12 kgs. If a second jumper has a drag coefficient of 15 kgs and a mass of 80 kg, how long will it take her to reach the same velocity jumper 1 reached in 9 s?1.7 For the second-order drag model Eq. 1.8, compute the
velocity of a free-falling parachutist using Euler’s method for the case where m = 80 kg and c d = 0.25 kgm. Perform the calculation from t = 0 to 20 s with a step size of 1 s. Use an initial condition that the parachutist has an upward veloc- ity of 20 ms at t = 0. At t = 10 s, assume that the chute is instantaneously deployed so that the drag coefficient jumps to 1.5 kgm.1.8 The amount of a uniformly distributed radioactive con-
taminant contained in a closed reactor is measured by its concentration c becquerelliter or BqL. The contaminant decreases at a decay rate proportional to its concentration; that is Decay rate = −kc where k is a constant with units of day −1 . Therefore, accord- ing to Eq. 1.14, a mass balance for the reactor can be written as dc dt = −kc change in mass = decrease by decay a Use Euler’s method to solve this equation from t = 0 to 1 d with k = 0.175 d –1 . Employ a step size of t = 0.1 d. The concentration at t = 0 is 100 BqL. b Plot the solution on a semilog graph i.e., ln c versus t and determine the slope. Interpret your results. 1.9 A storage tank Fig. P1.9 contains a liquid at depth y where y = 0 when the tank is half full. Liquid is withdrawn at a constant flow rate Q to meet demands. The contents areParts
» Applied Numerical Methods with MATLAB fo
» Motivation 1 1.2 Part Organization 2 Overview 123 2.2 Part Organization 124
» Overview 205 3.2 Part Organization 207 Overview 321 4.2 Part Organization 323
» Overview 459 5.2 Part Organization 460 Applied Numerical Methods with MATLAB fo
» New Chapters. Overview 547 6.2 Part Organization 551
» New Content. Overview 547 6.2 Part Organization 551
» New Homework Problems. Overview 547 6.2 Part Organization 551
» Numerical methods greatly expand the
» Numerical methods allow you to use
» PART ORGANIZATION Applied Numerical Methods with MATLAB fo
» CONSERVATION LAWS IN ENGINEERING AND SCIENCE
» NUMERICAL METHODS COVERED IN THIS BOOK
» CASE STUDY IT’S A REAL DRAG CASE STUDY continued
» CASE STUDY continued Applied Numerical Methods with MATLAB fo
» Use calculus to verify that Eq. 1.9 is a solution of
» Use calculus to solve Eq. 1 for the case where the ini-
» The following information is available for a bank account:
» Rather than the nonlinear relationship of Eq. 1.7, you
» For the free-falling bungee jumper with linear drag
» For the second-order drag model Eq. 1.8, compute the
» The amount of a uniformly distributed radioactive con-
» A storage tank Fig. P contains a liquid at depth y
» For the same storage tank described in Prob. 1.9, sup-
» Apply the conservation of volume see Prob. 1.9 to sim-
» THE MATLAB ENVIRONMENT ASSIGNMENT
» MATHEMATICAL OPERATIONS Applied Numerical Methods with MATLAB fo
» GRAPHICS Applied Numerical Methods with MATLAB fo
» OTHER RESOURCES Applied Numerical Methods with MATLAB fo
» CASE STUDY EXPLORATORY DATA ANALYSIS CASE STUDY continued
» Manning’s equation can be used to compute the veloc-
» It is general practice in engineering and science that
» You contact the jumpers used to generate the data in
» Figure Pa shows a uniform beam subject to a lin-
» M-FILES Applied Numerical Methods with MATLAB fo
» INPUT-OUTPUT Applied Numerical Methods with MATLAB fo
» STRUCTURED PROGRAMMING Applied Numerical Methods with MATLAB fo
» NESTING AND INDENTATION Applied Numerical Methods with MATLAB fo
» PASSING FUNCTIONS TO M-FILES
» CASE STUDY BUNGEE JUMPER VELOCITY CASE STUDY continued
» Economic formulas are available to compute annual
» Two distances are required to specify the location of a
» Develop an M-file to determine polar coordinates as
» Develop an M-file function that is passed a numeric
» Manning’s equation can be used to compute the velocity
» The volume V of liquid in a hollow horizontal cylinder of
» Develop a vectorized version of the following code:
» Based on Example 3.6, develop a script to produce an
» ERRORS Applied Numerical Methods with MATLAB fo
» Digital computers have magnitude and precision limits on their ability to represent
» Arithmetic Manipulations of Computer Numbers
» TRUNCATION ERRORS Applied Numerical Methods with MATLAB fo
» TOTAL NUMERICAL ERROR Applied Numerical Methods with MATLAB fo
» BLUNDERS, MODEL ERRORS, AND DATA UNCERTAINTY
» a Applied Numerical Methods with MATLAB fo
» OVERVIEW Applied Numerical Methods with MATLAB fo
» ROOTS IN ENGINEERING AND SCIENCE
» GRAPHICAL METHODS Applied Numerical Methods with MATLAB fo
» BRACKETING METHODS AND INITIAL GUESSES
» BISECTION Applied Numerical Methods with MATLAB fo
» FALSE POSITION Applied Numerical Methods with MATLAB fo
» CASE STUDY GREENHOUSE GASES AND RAINWATER CASE STUDY continued
» Locate the first nontrivial root of sinx = x
» Determine the positive real root of lnx
» A total charge Q is uniformly distributed around a ring-
» For fluid flow in pipes, friction is described by a di-
» Perform the same computation as in Prob. 5.22, but for
» SIMPLE FIXED-POINT ITERATION Applied Numerical Methods with MATLAB fo
» NEWTON-RAPHSON Applied Numerical Methods with MATLAB fo
» SECANT METHODS Applied Numerical Methods with MATLAB fo
» BRENT’S METHOD Applied Numerical Methods with MATLAB fo
» MATLAB FUNCTION: Applied Numerical Methods with MATLAB fo
» POLYNOMIALS Applied Numerical Methods with MATLAB fo
» CASE STUDY PIPE FRICTION CASE STUDY continued
» CASE STUDY continued CASE STUDY continued
» Use a fixed-point iteration and b the Newton-
» Use a the Newton-Raphson method and b the modi-
» Develop an M-file for the secant method. Along with
» Develop an M-file for the modified secant method.
» Differentiate Eq. E6.4.1 to get Eq. E6.4.2. a
» Perform the identical MATLAB operations as those
» In control systems analysis, transfer functions are
» Use the Newton-Raphson method to find the root of Given a
» INTRODUCTION AND BACKGROUND Applied Numerical Methods with MATLAB fo
» MULTIDIMENSIONAL OPTIMIZATION Applied Numerical Methods with MATLAB fo
» CASE STUDY EQUILIBRIUM AND MINIMUM POTENTIAL ENERGY
» Employ the following methods to find the minimum of
» Consider the following function:
» Develop a single script to a generate contour and
» The head of a groundwater aquifer is described in
» Recent interest in competitive and recreational cycling
» The normal distribution is a bell-shaped curve defined by
» Use the Applied Numerical Methods with MATLAB fo
» Given the following function:
» The specific growth rate of a yeast that produces an
» A compound A will be converted into B in a stirred
» Develop an M-file to locate a minimum with the
» Develop an M-file to implement parabolic interpola-
» Pressure measurements are taken at certain points
» The trajectory of a ball can be computed with
» The deflection of a uniform beam subject to a linearly
» The torque transmitted to an induction motor is a func-
» The length of the longest ladder that can negotiate
» MATRIX ALGEBRA OVERVIEW Applied Numerical Methods with MATLAB fo
» SOLVING LINEAR ALGEBRAIC EQUATIONS WITH MATLAB
» CASE STUDY CURRENTS AND VOLTAGES IN CIRCUITS CASE STUDY continued
» Five reactors linked by pipes are shown in Fig. P.
» SOLVING SMALL NUMBERS OF EQUATIONS
» MATLAB M-file: Operation Counting
» PIVOTING Applied Numerical Methods with MATLAB fo
» TRIDIAGONAL SYSTEMS Applied Numerical Methods with MATLAB fo
» CASE STUDY MODEL OF A HEATED ROD CASE STUDY continued
» Given the system of equations
» Given the equations Applied Numerical Methods with MATLAB fo
» An electrical engineer supervises the production of three
» Develop an M-file function based on Fig. 9.5 to im-
» GAUSS ELIMINATION AS LU FACTORIZATION
» CHOLESKY FACTORIZATION Applied Numerical Methods with MATLAB fo
» MATLAB LEFT DIVISION Applied Numerical Methods with MATLAB fo
» Use Cholesky factorization to determine [U] so that THE MATRIX INVERSE
» Norms and Condition Number in MATLAB
» CASE STUDY INDOOR AIR POLLUTION CASE STUDY continued
» Determine the matrix inverse for the system described
» Determine A Applied Numerical Methods with MATLAB fo
» Determine the Frobenius and row-sum norms for the
» Use MATLAB to determine the spectral condition num-
» Besides the Hilbert matrix, there are other matrices
» Use MATLAB to determine the spectral condition
» Repeat Prob. 11.10, but for the case of a six-
» The Lower Colorado River consists of a series of four a
» A chemical constituent flows between three reactors a
» LINEAR SYSTEMS: GAUSS-SEIDEL Applied Numerical Methods with MATLAB fo
» NONLINEAR SYSTEMS Applied Numerical Methods with MATLAB fo
» CASE STUDY CHEMICAL REACTIONS
» Use the Gauss-Seidel method to solve the following
» Repeat Prob. 12.3 but use Jacobi iteration.
» The following system of equations is designed to de-
» Solve the following system using three iterations with a
» MATHEMATICAL BACKGROUND Applied Numerical Methods with MATLAB fo
» PHYSICAL BACKGROUND Applied Numerical Methods with MATLAB fo
» THE POWER METHOD Applied Numerical Methods with MATLAB fo
» CASE STUDY EIGENVALUES AND EARTHQUAKES CASE STUDY continued
» Repeat Example but for three masses with the m’s =
» Use the power method to determine the highest eigen-
» Use the power method to determine the lowest eigen-
» Derive the set of differential equations for a three
» Consider the mass-spring system in Fig. P. The fre-
» STATISTICS REVIEW Applied Numerical Methods with MATLAB fo
» RANDOM NUMBERS AND SIMULATION
» LINEAR LEAST-SQUARES REGRESSION Applied Numerical Methods with MATLAB fo
» LINEARIZATION OF NONLINEAR RELATIONSHIPS
» COMPUTER APPLICATIONS Applied Numerical Methods with MATLAB fo
» CASE STUDY continued CASE STUDY continued CASE STUDY continued
» Using the same approach as was employed to derive
» Beyond the examples in Fig. 14.13, there are other
» The concentration of E. coli bacteria in a swimming
» Rather than using the base-e exponential model
» Determine an equation to predict metabolism rate as a
» On average, the surface area A of human beings is
» 2.12 2.15 2.20 2.22 2.23 2.26 2.30 Applied Numerical Methods with MATLAB fo
» An investigator has reported the data tabulated below
» Develop an M-file function to compute descriptive
» Modify the Applied Numerical Methods with MATLAB fo
» Develop an M-file function to fit a power model.
» Below are data taken from a batch reactor of bacterial
» A transportation engineering study was conducted to
» In water-resources engineering, the sizing of reser-
» Perform the same computation as in Example 14.3,
» POLYNOMIAL REGRESSION Applied Numerical Methods with MATLAB fo
» MULTIPLE LINEAR REGRESSION Applied Numerical Methods with MATLAB fo
» GENERAL LINEAR LEAST SQUARES
» QR FACTORIZATION AND THE BACKSLASH OPERATOR
» NONLINEAR REGRESSION Applied Numerical Methods with MATLAB fo
» CASE STUDY FITTING EXPERIMENTAL DATA CASE STUDY continued
» Fit a parabola to the data from Table 14.1. Determine
» Fit a cubic polynomial to the following data:
» Use multiple linear regression to derive a predictive
» As compared with the models from Probs. 15.5 and
» Use multiple linear regression to fit
» The following data were collected for the steady flow
» In Prob. 14.8 we used transformations to linearize
» Enzymatic reactions are used extensively to charac-
» The following data represent the bacterial growth in a
» Dynamic viscosity of water μ10
» Use the following set of pressure-volume data to find
» Environmental scientists and engineers dealing with
» It is known that the data tabulated below can be mod-
» hr Applied Numerical Methods with MATLAB fo
» CURVE FITTING WITH SINUSOIDAL FUNCTIONS
» CONTINUOUS FOURIER SERIES Applied Numerical Methods with MATLAB fo
» FOURIER INTEGRAL AND TRANSFORM
» DISCRETE FOURIER TRANSFORM DFT
» THE POWER SPECTRUM Applied Numerical Methods with MATLAB fo
» CASE STUDY SUNSPOTS Applied Numerical Methods with MATLAB fo
» The pH in a reactor varies sinusoidally over the course
» The solar radiation for Tucson, Arizona, has been tab-
» Use MATLAB to generate 64 points from the function
» INTRODUCTION TO INTERPOLATION Applied Numerical Methods with MATLAB fo
» NEWTON INTERPOLATING POLYNOMIAL Applied Numerical Methods with MATLAB fo
» LAGRANGE INTERPOLATING POLYNOMIAL Applied Numerical Methods with MATLAB fo
» INVERSE INTERPOLATION Applied Numerical Methods with MATLAB fo
» EXTRAPOLATION AND OSCILLATIONS Applied Numerical Methods with MATLAB fo
» Given the data Applied Numerical Methods with MATLAB fo
» Use the portion of the given steam table for super-
» The following data for the density of nitrogen gas ver-
» Ohm’s law states that the voltage drop V across an
» The acceleration due to gravity at an altitude y above
» INTRODUCTION TO SPLINES Applied Numerical Methods with MATLAB fo
» LINEAR SPLINES Applied Numerical Methods with MATLAB fo
» CUBIC SPLINES Applied Numerical Methods with MATLAB fo
» PIECEWISE INTERPOLATION IN MATLAB
» MULTIDIMENSIONAL INTERPOLATION Applied Numerical Methods with MATLAB fo
» CASE STUDY HEAT TRANSFER CASE STUDY continued
» A reactor is thermally stratified as in the following
» The following is the built-in
» Develop a plot of a cubic spline fit of the following
» The following data define the sea-level concentra- a
» NEWTON-COTES FORMULAS Applied Numerical Methods with MATLAB fo
» THE TRAPEZOIDAL RULE Applied Numerical Methods with MATLAB fo
» SIMPSON’S RULES Applied Numerical Methods with MATLAB fo
» HIGHER-ORDER NEWTON-COTES FORMULAS Applied Numerical Methods with MATLAB fo
» INTEGRATION WITH UNEQUAL SEGMENTS
» OPEN METHODS MULTIPLE INTEGRALS
» CASE STUDY COMPUTING WORK WITH NUMERICAL INTEGRATION CASE STUDY continued CASE STUDY continued
» Derive Eq. 19.4 by integrating Eq. 19.3. Evaluate the following integral:
» INTRODUCTION Applied Numerical Methods with MATLAB fo
» ROMBERG INTEGRATION Applied Numerical Methods with MATLAB fo
» GAUSS QUADRATURE Applied Numerical Methods with MATLAB fo
» MATLAB Functions: If the error is larger than the tolerance,
» CASE STUDY ROOT-MEAN-SQUARE CURRENT CASE STUDY continued
» Evaluate the following integral a analytically,
» Evaluate the following integral with a Romberg inte-
» Evaluate the double integral Compute work as described in Sec. 19.9, but use the
» Suppose that the current through a resistor is de-
» km 1100 1500 2450 3400 3630 4500 km 5380 6060 6280 6380 Applied Numerical Methods with MATLAB fo
» HIGH-ACCURACY DIFFERENTIATION FORMULAS Applied Numerical Methods with MATLAB fo
» RICHARDSON EXTRAPOLATION Applied Numerical Methods with MATLAB fo
» DERIVATIVES OF UNEQUALLY SPACED DATA
» DERIVATIVES AND INTEGRALS FOR DATA WITH ERRORS
» PARTIAL DERIVATIVES Applied Numerical Methods with MATLAB fo
» NUMERICAL DIFFERENTIATION WITH MATLAB
» CASE STUDY VISUALIZING FIELDS CASE STUDY continued
» Develop an M-file to obtain first-derivative estimates
» Develop an M-file function that computes first and
» A jet fighter’s position on an aircraft carrier’s runway
» Use the following data to find the velocity and accel-
» A plane is being tracked by radar, and data are taken
» Use regression to estimate the acceleration at each
» The normal distribution is defined as
» The following data were generated from the normal Use the
» The objective of this problem is to compare second-
» The pressure gradient for laminar flow through a con-
» The following data for the specific heat of benzene
» The specific heat at constant pressure c
» OVERVIEW IMPROVEMENTS OF EULER’S METHOD
» RUNGE-KUTTA METHODS Applied Numerical Methods with MATLAB fo
» SYSTEMS OF EQUATIONS Applied Numerical Methods with MATLAB fo
» CASE STUDY PREDATOR-PREY MODELS AND CHAOS
» Develop an M-file to solve a single ODE with Heun’s
» Develop an M-file to solve a single ODE with the
» Develop an M-file to solve a system of ODEs with
» Isle Royale National Park is a 210-square-mile archi-
» The motion of a damped spring-mass system
» Perform the same simulations as in Section 22.6 for ADAPTIVE RUNGE-KUTTA METHODS
» MULTISTEP METHODS Applied Numerical Methods with MATLAB fo
» STIFFNESS Applied Numerical Methods with MATLAB fo
» MATLAB APPLICATION: BUNGEE JUMPER WITH CORD
» CASE STUDY PLINY’S INTERMITTENT FOUNTAIN CASE STUDY continued
» Given Applied Numerical Methods with MATLAB fo
» THE SHOOTING METHOD Applied Numerical Methods with MATLAB fo
» FINITE-DIFFERENCE METHODS Applied Numerical Methods with MATLAB fo
» A cable is hanging from two supports at A and B
» In Prob. 24.16, the basic differential equation of the
Show more