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Highlights from
Advanced Mathematics and Mechanics Applications Using MATLAB, 3rd Edition

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Advanced Mathematics and Mechanics Applications Using MATLAB, 3rd Edition



14 Oct 2002 (Updated )

Companion Software (amamhlib)

function [t,z,cptim]=sprnchan
% [t,z,cptim]=sprnchan
% ~~~~~~~~~~~~~~~~~~~~
% This program simulates the dynamics of an elastic
% chain modeled by a series of mass particles joined
% by elastic springs. The outer springs at each end
% are connected to foundations moving on circular 
% paths at constant speed. The system is released from
% rest in a horizontal position. Forces on the system
% include gravity, linear viscous drag, and foundation
% motion. If the last spring in the chain is assigned
% zero stiffness, then the last particle is freed from
% the foundation and a swinging chain with the upper
% end  shaken is analyzed. The principal variables for
% the problem are listed below. Different data choices
% can be made by changing function chaindata.
% tlim    - vector of time values at which the 
%           solution is computed 
% m       - vector of mass values for the particles
% k       - vector of stiffness values for springs
%           connecting the particles. If the last 
%           spring constant is set to zero, then the
%           right end constraint is removed
% L       - vector of unstretched spring lengths
% zend    - complex position coordinate of the outer 
%           end of the last spring (assuming the outer
%           end of the first spring is held at z=0)
% zinit   - vector of complex initial displacement 
%           values for each mass particle. Initial 
%           velocity values are zero.
% fext    - vector of constant complex force components
%           applied to the individual masses
% c       - vector of damping coefficients specifying
%           drag on each particle linearly proportional
%           to the particle velocity
% tolrel  - relative error tolerance for function ode45
% tolabs  - absolute error tolerance for function ode45
% t       - vector of times returned by ode45
% z       - matrix of complex position and velocity 
%           values returned by ode45. A typical row 
%           z(j,:) gives the system position and 
%           velocity for time t(j). The first half of 
%           the row contains complex position values 
%           and the last half contains velocity values
% omega   - frequency at which the ends of the chain 
%           are shaken
% yend    - amplitude of the vertical motion of the 
%           chain ends. If this is set to zero then 
%           the chain ends do not move 
% endmo   - the function defining the end motion of
%           the chain
% spreqmof - the function defining the equation of 
%            motion to be integrated using ode45
% User m functions called:  chaindata, spreqmof,
%                           endmo, plotmotn

global zend omega Rend; close
disp('Give a file name to define the data. Try')
datname=input('chaindata as an example > ? ','s');

% The following data values are scaled in terms of
% the parameters returned by the data input function

% Time vector for solution output  
tmin=0; tlim=linspace(tmin,tmax,nt)'; 

% Number of masses, gravity constant, mass vector    
g=32.2; len0=1; mas=1/g; m=mas*ones(n,1);

% Spring lengths and spring constants
L=len0*ones(n+1,1); ksp=5*mas*g*(n+1)/(2*len0);    

% If the far end of the chain is free, then the
% last spring constant is set equal to zero

% Viscous damping coefficients

% Chain end position and initial position of 
% each mass. Parameters concerning the end 
% positions are passed as global variables.
% global zend omega Rend
zend=len0*(n+1); zinit=cumsum(L(1:n)); 

% Function name giving end position of the chain

% Gravity forces and integration tolerance
fext=-i*g*m; tolrel=1e-6;  tolabs=1e-8; 

% Initial conditions for the ode45 integrator
n=length(m); r0=[zinit;zeros(n,1)];

% Integrate equations of motion
options = odeset('reltol',tolrel,'abstol',tolabs);
fprintf('\nPlease Wait While the Equations\n')
fprintf('of Motion Are Being Integrated\n')
pause(1), tic;


cptim=toc; cpt=num2str(fix(10*cptim)/10);
['\nComputation time was ',cpt,' seconds\n'])

% Extract displacement history and add 
% end positions
R=endmo(t); z=[R(:,1),r(:,1:n)];
if k(n+1)~=0, z=[z,R(:,2)]; end
X=real(z); Y=imag(z); 

% Show animation or motion trace of the response.
% disp('Press [Enter] to continue'), pause 
disp(' ')
disp('The  motion can be animated or a trace')
disp('can be shown for successive positions')
disp(['between t = ',num2str(tmin),...
      ' and t = ',num2str(tmax)])
     '[cdamp,omega] = [',num2str(cdamp),' , ',...
num2str(omega),' ]  and T = '];

% Plot the position for different times limits
while 1
  disp(' '), disp(...
  ['Choose a plot option (1 <=> animate, ',...
   ' 2 <=> trace,'])
  opt=input('3 <=> stop)  > ? ');
  if opt==3, break, end
  disp(' '), disp(...
  'Give a time vector such as 0:.1:15')
  Tp=input('Time vector > ? ','s'); 
  if isempty(Tp), break, end
  tp=eval(Tp); tp=tp(:); T=[titl,Tp];
  xp=interp1q(t,X,tp); yp=interp1q(t,Y,tp);
  if opt ==1, plotmotn(xp,yp,T)
  else, plotmotn(xp,yp,T,1), end

% Save plot history for subsequent printing 
% print -deps plotmotn

fprintf('\nAll Done\n')


function [n,tmax,nt,fixorfree,rend,omega,...
% [n,tmax,nt,fixorfree,rend,omega,...
%                           cdamp]=chaindata
% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
% This example function creates data defining
% the chain. The function can be renamed and 
% modified to handle different problems.

n=8;          % Number or point masses
tmax=20;      % Maximum time for the solution
nt=401;       % Number of time values from 0 to tmax
fixorfree=0;  % Determines whether the right end 
              % position is controlled or free. Use
              % zero for free or one for controlled.
rend=0.05;    % Amplitude factor for end motion. This
              % can be zero if the ends are fixed.
omega=6;      % Frequency at which the ends are 
              % rotated.
cdamp=1;      % Coefficient regulating the amount of
              % viscous damping. Reduce cdamp to give
              % less damping.

function rdot=spreqmof(t,r,m,k,L,re,fext,c)
% rdot=spreqmof(t,r,m,k,L,re,fext,c)
% ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
% This function forms the two-dimensional equation
% of motion for a chain of spring-connected particles. 
% The positions of the ends of the chain may be time
% dependent and are computed from a function named in
% the input parameter re. The applied external loading 
% consists of constant loads on the particles and
% linear viscous damping proportional to the particle
% velocities. Data parameters for the problem are
% defined in a function file specified by the user.
% Function chaindata gives a typical example. 
% t    - current value of time
% r    - vector containing complex displacements in
%        the top half and complex velocity components
%        in the bottom half
% m    - vector of particle masses
% k    - vector of spring constant values
% L    - vector of unstretched spring lengths
% re   - name of a function which returns the time
%        dependent complex position coordinate for
%        the ends of the chain
% fext - vector of constant force components applied 
%        to the spring
% c    - vector of viscous damping coefficients for 
%        the particles

N=length(r); n=N/2; z=r(1:n); v=r(n+1:N);
zdif=diff([R(1);z;R(2)]); len=abs(zdif);
fsp=zdif./len.*((len-L).*(len-L>0)).*k; fdamp=-c.*v; 


function rends=endmo(t)
% rends=endmo(t)
% ~~~~~~~~~~~~~
% This function specifies the varying end positions.
% In this example the ends rotate at frequency omega
% around circles of radius Rend.
% User m functions called:  none

global zend Rend omega
s=Rend*exp(i*omega*t); rends=[s,zend-conj(s)];


% function plotmotn(x,y,titl,isave)
% See Appendix B

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