Repository navigation
Expand file tree
/
Copy pathsimple.py
More file actions
101 lines (78 loc) · 3.05 KB
/
Copy pathsimple.py
File metadata and controls
101 lines (78 loc) · 3.05 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
import numpy as np
number_of_particles = 10
dimension = 2
positions = np.zeros((number_of_particles,dimension),dtype=np.float64)
separations = np.zeros((number_of_particles+1,dimension),dtype=np.float64)
distances = np.zeros((separations.shape[0]),dtype=np.float64)
velocities = np.zeros_like(positions)
masses = np.ones((number_of_particles),np.float64)
forces = np.zeros_like(velocities)
system_length = 11.*1.5
spring_stiffness = 10.
# The masses partition the string into number_of_particles+1 pieces
partition_length = system_length/(number_of_particles+1)
spring_length = 1.
endpoints = np.zeros((2,dimension),dtype=np.float64)
endpoints[1,0] = system_length
for i in range(number_of_particles):
positions[i,0] = (i+1)*partition_length
def force(positions):
separations[0,:] = positions[0,:]-endpoints[0,:]
separations[-1,:] = endpoints[-1,:]-positions[-1,:]
if positions.shape[0] > 1:
for i in range(separations.shape[0]-2):
separations[i+1,:] = positions[i+1,:] - positions[i,:]
distances = np.linalg.norm(separations,axis=1)
forces[:,:] = 0.
for i in range(forces.shape[0]):
forces[i,:] += -spring_stiffness * \
((separations[i,:]/distances[i])*(distances[i]-spring_length) + \
(-separations[i+1,:]/distances[i+1])*(distances[i+1]-spring_length))
return forces
def energy(pos,vel):
E = 0
global masses
global spring_stiffness
global spring_length
for i in range(vel.shape[0]):
E += .5*masses[i]*np.dot(vel[i,:],vel[i,:])
separations[0,:] = pos[0,:]-endpoints[0,:]
separations[-1,:] = pos[-1,:]-endpoints[-1,:]
distances = np.linalg.norm(separations,axis=1)
for i in range(pos.shape[0]):
E += .5*spring_stiffness*(distances[i]-spring_length)**2
E += .5*spring_stiffness*(distances[-1]-spring_length)**2
return E
def update(delta_time):
global positions, velocities
#Euler Cromer (semi-implicit Euler)
for i in range(positions.shape[0]):
positions[i] += velocities[i]*delta_time
forces = force(positions)
for i in range(positions.shape[0]):
# forces[i] is from the left neighboring spring, forces[i+1] is from the right
velocities[i] += forces[i]/masses[i]*delta_time
def output_data(fname,t,pos,vel,force):
output_string = ''
output_string += str(t) + '\t'
#output_string += str(E) + '\t'
for i in range(pos.shape[0]):
for j in range(dimension):
output_string += str(pos[i,j]) + '\t'
for j in range(dimension):
output_string += str(vel[i,j]) + '\t'
for j in range(dimension):
output_string += str(force[i,j]) + '\t'
output_string = output_string[0:-1]+'\n'
fname.write(output_string)
dt = .1
duration = 1000.
time = np.linspace(0,duration,int(duration//dt))
f = open("data.tsv",'w')
#Modify Initial Conditions
for i in range(positions.shape[0]):
positions[i] += [0.1,0.1]
for i in range(len(time)):
update(dt)
output_data(f,time[i],positions,velocities,force(positions))
f.close()