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Add BouncyCannonBall example to demonstrate dynamic events. #1097
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#include <math.h>
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#include <stdio.h>
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#include "SAIntegrator.hh"
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struct Cannon {
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double pos[2];
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double vel[2];
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Cannon(double px, double py, double vx, double vy);
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};
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Cannon::Cannon(double px, double py, double vx, double vy) {
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pos[0] = px; pos[1] = py;
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vel[0] = vx; vel[1] = vy;
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}
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void CSV_header() {
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printf ("t, cannon.pos[0], cannon.pos[1], cannon.vel[0], cannon.vel[1]\n");
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}
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void CSV_state( double t, Cannon& cannon) {
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printf ("%5.3f, %5.10f, %5.10f, %5.10f, %5.10f\n",
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t, cannon.pos[0], cannon.pos[1], cannon.vel[0], cannon.vel[1]);
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}
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void calc_derivs( double t, double state[], double derivs[], void* udata) {
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derivs[0] = state[2];
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derivs[1] = state[3];
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derivs[2] = 0.0;
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derivs[3] = -9.81;
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}
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double impact( double t, double state[], RootFinder* root_finder, void* udata) {
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double root_error = root_finder->find_roots(t, state[1]);
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if (root_error == 0.0) {
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root_finder->init();
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state[2] = 0.9 * state[2];
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state[3] = -0.9 * state[3];
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}
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return (root_error);
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}
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int main ( int argc, char* argv[]) {
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const double muzzle_speed = 50; // m/s
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const double muzzle_angle = 30; // degrees
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double vx0 = muzzle_speed * cos(muzzle_angle * M_PI / 180.0);
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double vy0 = muzzle_speed * sin(muzzle_angle * M_PI / 180.0);
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Cannon cannon(0.0, 0.0, vx0, vy0);
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double* state_var_p[4] = { &(cannon.pos[0]), &(cannon.pos[1]),
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&(cannon.vel[0]), &(cannon.vel[1]) };
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double dt = 0.01;
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SA::RK2Integrator integ(dt, 4, state_var_p, calc_derivs, NULL);
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integ.add_Rootfinder(1.0e-10, Negative, &impact);
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double t = 0.0;
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CSV_header();
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CSV_state( t, cannon);
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while (t < 20.0) {
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integ.integrate();
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t = integ.getIndyVar();
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CSV_state( t, cannon);
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}
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}
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# BouncyCannonBall
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The BouncyCannonBall program adds dynamic events to the Cannonball simulation.
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using a rootfinder with our integrator to detect contact with the ground, and
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bounce the cannonball.
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For each numerical integration time-step, the simulation program prints:
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1. time (s)
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2. 2D position vector (m)
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3. 2D velocity vector (m/s)
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to ```stdout```, in Comma Separated Values (CSV) format.
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### Building & Running the Simulation Program
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Generate the results as follows:
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```
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$ make
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$ ./BouncyCannonBall > cannon.csv
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```
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### Plotting the Results
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The Python script, ```plot_trajectory.py``` is provided to plot the results
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in ```cannon.csv``` using (Python) matplotlib.
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Plot the cannon ball trajectory as follows:
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```
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$ python plot_trajectory.py
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```
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![Cannon](images/Cannon.png)
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After Width: | Height: | Size: 160 KiB |
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RM = rm -rf
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CC = cc
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CPP = c++
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CXXFLAGS = -g -Wall
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INCLUDE_DIRS = -I../../include
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LIBDIR = ../../lib
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all: BouncyCannonBall
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${LIBDIR}/libSAInteg.a:
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@echo "=============================================================="
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@echo " ATTENTION"
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@echo "The libSAInteg.a library needs to be built."
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@echo "Please \"cd\" to the SAIntegrator directory and type \"make\"."
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@echo "=============================================================="
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BouncyCannonBall: ${LIBDIR}/libSAInteg.a
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$(CPP) $(CXXFLAGS) BouncyCannonBall.cpp ${INCLUDE_DIRS} -L${LIBDIR} -lSAInteg -o BouncyCannonBall
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clean:
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${RM} BouncyCannonBall.dSYM
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spotless: clean
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${RM} BouncyCannonBall
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${RM} cannon.csv
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#!/usr/bin/env python
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import matplotlib.pyplot as plt
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import numpy as np
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data = np.genfromtxt('cannon.csv',
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delimiter=',',
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skip_header=1,
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skip_footer=1,
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names=['t', 'px', 'py', 'vx', 'vx'],
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dtype=(float, float, float, float, float)
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)
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curve1 = plt.plot(data['px'], data['py'], 'C1-')
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plt.title('Cannonball Trajectory')
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plt.xlabel('pos-x')
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plt.ylabel('pos-y')
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plt.grid(True)
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plt.show()
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