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Mathematics 10 Pages

Matlab Sessions: Laboratory 5 Mat 275 Laboratory 5

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MATLAB sessions:  MAT 275 Laboratory 5

MAT 275 Laboratory 5

The Mass-Spring System.

In this laboratory we will examine harmonic oscillation. We will model the motion of a mass-spring system with differential equations.

Our objectives are as follows:

1.  Determine the effect of parameters on the solutions of differential equations.

2.  Determine the behavior of the mass-spring system from the graph of the solution.

3.  Determine the effect of the parameters on the behavior of the mass-spring.

The primary MATLAB command used is the ode45 function.

Mass-Spring System without Damping

The motion of a mass suspended to a vertical spring can be described as follows. When the spring is not loaded it has length !0 (situation (a)). When a mass m is attached to its lower end it has length ! (situation (b)). From the first principle of mechanics we then obtain

mg+−k(! − !0)= 0.(L5.1)
!"#$! "# $  
    
downward weight forceupward tension force  

 

The term g measures the gravitational acceleration (g " 9.8m/s2 " 32f t/s2). The quantity k is a spring constant measuring its stiffness. We now pull downwards on the mass by an amount y and let the mass go (situation (c)). We expect the mass to oscillate around the position y = 0. The second principle of mechanics yields

 
 

 

mg  +  −k(! + y − !0)=
!"#$! "# $ 
   
weightupward tension force

 

using (L5.1).  This ODE is second-order.

  

 
 

 d2(! + y) d2y  
m       ,  i.e.,m + ky = 0(L5.2)
  dt2  dt2
!  "#  $    
   of    
acceleration mass    

   

 
 

!0k  
 !  
  y 
 m  
   γ
(a)(b)(c)(d)

  

Equation (L5.2) is rewritten 

d2y+ ω02y = 0(L5.3)
dt2
  


 

     

#c2011 Stefania Tracogna, SoMSS, ASU    

 
 
 
 
 
 

    

MATLAB sessions:  Laboratory 5   


 
 
 

 

where ω02 = k/m. Equation (L5.3) models simple harmonic motion. A numerical solution with ini-tial conditions y(0) = 0.1 meter and y! (0) = 0 (i.e., the mass is initially stretched downward 10cms and released, see setting (c) in figure) is obtained by first reducing the ODE to first-order ODEs (see Laboratory 4).

Let v = y! . Then v! = y!! = −ω02y = −4y. Also v(0) = y! (0) = 0. The following MATLAB program implements the problem (with ω0 = 2).

function LAB05ex1

m = 1;                                                                                       % mass [kg]

k = 4;                                                                                        % spring constant [N/m]

omega0 = sqrt(k/m);

y0 = 0.1; v0 = 0;                                                                   % initial conditions

[t,Y] = ode45(@f,[0,10],[y0,v0],[],omega0); % solve for 0<t<10

y = Y(:,1); v = Y(:,2);                                                           % retrieve y, v from Y

figure(1); plot(t,y,’b+-’,t,v,’ro-’);                                       % time series for y and v

grid on;

%-----------------------------------------

function dYdt = f(t,Y,omega0) y = Y(1); v = Y(2);

dYdt = [ v ; -omega0^2*y ];

Note that the parameter ω0 was passed as an argument to ode45 rather than set to its value ω0 = 2 directly in the function f. The advantage is that its value can easily be changed in the driver part of the program rather than in the function, for example when multiple plots with different values of ω0 need to be compared in a single MATLAB figure window.

0.2          
0.15          
0.1          
0.05          
0          
−0.05          
−0.1          
−0.15          
−0.212345678910
0


 

Figure L5a:  Harmonic motion

1.  From the graph in Fig.  L5a answer the following questions.

(a)   Which curve represents y = y(t)?  How do you know?

(b)   What is the period of the motion? Answer this question first graphically (by reading the period from the graph) and then analytically (by finding the period using ω0).

(c)   We say that the mass comes to rest if, after a certain time, the position of the mass remains within an arbitrary small distance from the equilibrium position. Will the mass ever come to rest? Why?


 

 
 

 

#c2011 Stefania Tracogna, SoMSS, ASU

 
MATLAB sessions:  Laboratory 5

 


 

(d)   What is the amplitude of the oscillations for y?

(e)   What is the maximum velocity (in magnitude) attained by the mass, and when is it attained? Make sure you give all the t-values at which the velocity is maximum and the corresponding

maximum value. The t-values can be determined by magnifying the MATLAB figure using the magnify button , and by using the periodicity of the velocity function.

 

(f ) How does the size of the mass m and the stiffness k of the spring affect the motion? Support your answer first with a theoretical analysis on how ω0 – and therefore the period of the oscillation – is related to m and k, and then graphically by running LAB05ex1.m first with m = 5 and k = 4 and then with m = 1 and k = 16. Include the corresponding graphs.

2.  The energy of the mass-spring system is given by the sum of the potential energy and kinetic energy. In absence of damping, the energy is conserved.

(a)   Plot the quantity E = 12 mv2 + 12 ky2 as a function of time. What do you observe? (pay close attention to the y-axis scale and, if necessary, use ylim to get a better graph). Does the graph confirm the fact that the energy is conserved?

(b)   Show analytically that  dEdt  = 0.(Note that this proves that the energy is constant).

(c)   Plot v vs y (phase plot). Does the curve ever get close to the origin? Why or why not? What does that mean for the mass-spring system?

Mass-Spring System with Damping

When the movement of the mass is damped due to viscous effects (e.g., the mass moves in a cylinder containing oil, situation (d)), an additional term proportional to the velocity must be added. The resulting equation becomes

   d2y dy d2y dy 
  m + c + ky = 0   or  + 2p + ω02y = 0(L5.4)
dt2  dt2 
    dt  dt 
by setting p =c.  The program LAB05ex1 is updated by modifying the function f: 
  
 2m          
function LAB05ex1a          
m = 1;      % mass [kg] 
k = 4;      % spring constant [N/m] 
c = 1;    % friction coefficient [Ns/m] 
omega0 = sqrt(k/m); p = c/(2*m);      
y0 = 0.1; v0 = 0;      % initial conditions 
[t,Y] = ode45(@f,[0,10],[y0,v0],[],omega0,p); % solve for 0<t<10 
y = Y(:,1); v = Y(:,2);    % retrieve y, v from Y 
figure(1); plot(t,y,’b+-’,t,v,’ro-’);  % time series for y and v 
grid on;          
%-------------------------------------------    
function dYdt = f(t,Y,omega0,p)      
y = Y(1); v = Y(2);          
dYdt = [ v ; ?? ];      % fill-in dv/dt 

 

3.  Fill in LAB05ex1a.m to reproduce Fig.  L5b and then answer the following questions.

(a)   For what minimal time t1 will the mass-spring system satisfy |y(t)| < 0.01 for all t > t1? You can answer the question either by magnifying the MATLAB figure using the magnify button  (include a graph that confirms your answer), or use the following MATLAB commands (explain):

 


 

 
 

 

#c2011 Stefania Tracogna, SoMSS, ASU

 
 

 

MATLAB sessions:  Laboratory 5


 
0.2        y(t) 
          
         v(t)=y’(t) 
0.15          
0.1          
0.05          
0          
−0.05          
−0.1          
−0.15          
−0.212345678910
0


 

Figure L5b:  Damped harmonic motion

for i=1:length(y) m(i)=max(abs(y(i:end)));

end

i = find(m<0.01); i = i(1);

disp([’|y|<0.01 for t>t1 with ’ num2str(t(i-1)) ’<t1<’ num2str(t(i))])

(b)   What is the maximum (in magnitude) velocity attained by the mass, and when is it attained? Answer by using the magnify button and include the corresponding picture.

(c)   How does the size of c affect the motion? To support your answer, run the file LAB05ex1.m for c = 2, c = 4, c = 6 and c = 8. Include the corresponding graphs with a title indicating the value of c used.

(d)   Determine analytically the smallest (critical) value of c such that no oscillation appears in the solution.

4.   (a)  Plot the quantity E  = 1 mv2+ 1 ky2as a function of time.  What do you observe?  Is the
 22 

energy conserved in this case?

(b)   Show analytically that  dEdt  < 0 for c > 0 while  dEdt  > 0 for c < 0.

(c)   Plot v vs y (phase plot). Comment on the behavior of the curve in the context of the motion of the spring. Does the graph ever get close to the origin? Why or why not?


 

 
 

 
 
 
 
 

#c2011 Stefania Tracogna, SoMSS, ASU
 
 
 
 

 
 
 
 
 
 
 
 
 
 
 
 
   







Solution

Title: Matlab Sessions: Laboratory 5 Mat 275 Laboratory 5
Length: 10 pages (2000 Words)
Style: APA

Preview

Exercise 1

Part a) The blue curve in the Fig, L5a represents y=y(t). You can tell by looking at the initial conditions in the MATLAB program that’s given in the Lab Manual. The initial condition y0 is at 0.1, whereas v0 is at 0.

Part b) by using omega0 the period comes out to equal pi. This was found by

0=sqrt(k/m)=sqrt(4/1)=2, T(period)=(2*pi)/2=pi

Part c) No, the mass will not come to a rest. After looking over the graph, it’s easy to see that the curve is very uniform, and therefore will keep oscillating. Usually there will be a damping constant for a mass to come to rest.

Part d) The amplitude of the oscillations for y is 0.1. When going from peak to peak it’s 0.2.

Part e) The maximum velocity attained by the mass is 0.2 m/s at t=2,4,5.5,and 8.7 seconds.

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