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トップに関する質問【プログラミング未経験者】Pythonにて時間ループの中で境界条件をif文を使って時間指定で切り替えたい

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4

書式の改善

2021/07/13 07:39

投稿

ab-3
ab-3

スコア5

test CHANGED
File without changes
test CHANGED
@@ -1,5 +1,145 @@
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1
  ```ここに言語を入力
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2
 
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+ import matplotlib.pyplot as plt
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+
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+ import matplotlib.animation as animation
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+
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+ import numpy as np
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+
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+
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+
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+ # input parameter
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+
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+ den = 8880.0
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+
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+ cp = 386.0
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+
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+ cond = 398.0
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+
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+ temp_bc = 100.0
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+
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+ temp_init = 0.0
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+
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+ lx = 1.0
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+
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+ nx = 101
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+
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+ tend = 20000.0
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+
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+ dt = 0.1
30
+
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+ tout = 100.0
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+
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+
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+
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+ alpha = cond / (den * cp)
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+
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+ dx = lx / (nx - 1)
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+
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+ nt = int(tend / dt)
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+
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+ nout = int(tout / dt)
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+
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+
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+
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+ #initial condition
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+
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+ temp = np.full(nx, temp_init)
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+
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+ time = 0.0
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+
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+
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+
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+ temp_new = np.zeros(nx)
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+
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+
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+
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+ # Boundary condition
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+
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+ temp[0] = temp_bc # Dirichlet @ x=0
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+
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+ temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
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+
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+
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+
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+ # graph data array
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+
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+ ims = []
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+
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+ fig = plt.figure()
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+
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+ ax = fig.add_subplot(1, 1, 1)
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+
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+
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+
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+ gx = np.zeros(nx)
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+
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+ for i in range(nx):
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+
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+ gx[i] = i * dx
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+
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+
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+
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+ # time loop
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+
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+ for n in range(1, nt+1):
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+
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+ # FTCS
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+
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+ for i in range(1, nx-1):
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+
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+ temp_new[i] = temp[i] + dt * alpha * (temp[i+1] - 2.0 * temp[i] + temp[i-1]) / (dx * dx)
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+
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+
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+
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+ # update
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+
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+ for i in range(1, nx-1):
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+
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+ temp[i] = temp_new[i]
100
+
101
+
102
+
103
+ # Boundary condition
104
+
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+ temp[0] = temp_bc # Dirichlet @ x=0
106
+
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+ temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
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+
109
+
110
+
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+ time += dt
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+
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+
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+
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+ if n % nout == 0:
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+
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+ print('n: {0:7d}, time: {1:8.1f}, temp: {2:10.6f}'.format(n, time, temp[nx-1]))
118
+
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+ im_line = ax.plot(gx, temp, 'b')
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+
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+ im_time = ax.text(0, 110, 'Time = {0:8.1f} [s]'.format(time))
122
+
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+ ims.append(im_line + [im_time])
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+
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+
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+
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+ # graph plot
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+
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+ ax.set_xlabel('x [m]')
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+
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+ ax.set_ylabel('Temperature [C]')
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+
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+ ax.grid()
134
+
135
+ anm = animation.ArtistAnimation(fig, ims, interval=50)
136
+
137
+ anm.save('animation.gif', writer='pillow')
138
+
139
+ plt.show()
140
+
141
+ ``````ここに言語を入力
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+
3
143
  コード
4
144
 
5
145
  ```### 前提・実現したいこと
@@ -42,143 +182,7 @@
42
182
 
43
183
  ### 該当のソースコード
44
184
 
45
- import matplotlib.pyplot as plt
185
+
46
-
47
- import matplotlib.animation as animation
48
-
49
- import numpy as np
50
-
51
-
52
-
53
- # input parameter
54
-
55
- den = 8880.0
56
-
57
- cp = 386.0
58
-
59
- cond = 398.0
60
-
61
- temp_bc = 100.0
62
-
63
- temp_init = 0.0
64
-
65
- lx = 1.0
66
-
67
- nx = 101
68
-
69
- tend = 20000.0
70
-
71
- dt = 0.1
72
-
73
- tout = 100.0
74
-
75
-
76
-
77
- alpha = cond / (den * cp)
78
-
79
- dx = lx / (nx - 1)
80
-
81
- nt = int(tend / dt)
82
-
83
- nout = int(tout / dt)
84
-
85
-
86
-
87
- #initial condition
88
-
89
- temp = np.full(nx, temp_init)
90
-
91
- time = 0.0
92
-
93
-
94
-
95
- temp_new = np.zeros(nx)
96
-
97
-
98
-
99
- # Boundary condition
100
-
101
- temp[0] = temp_bc # Dirichlet @ x=0
102
-
103
- temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
104
-
105
-
106
-
107
- # graph data array
108
-
109
- ims = []
110
-
111
- fig = plt.figure()
112
-
113
- ax = fig.add_subplot(1, 1, 1)
114
-
115
-
116
-
117
- gx = np.zeros(nx)
118
-
119
- for i in range(nx):
120
-
121
- gx[i] = i * dx
122
-
123
-
124
-
125
- # time loop
126
-
127
- for n in range(1, nt+1):
128
-
129
- # FTCS
130
-
131
- for i in range(1, nx-1):
132
-
133
- temp_new[i] = temp[i] + dt * alpha * (temp[i+1] - 2.0 * temp[i] + temp[i-1]) / (dx * dx)
134
-
135
-
136
-
137
- # update
138
-
139
- for i in range(1, nx-1):
140
-
141
- temp[i] = temp_new[i]
142
-
143
-
144
-
145
- # Boundary condition
146
-
147
- temp[0] = temp_bc # Dirichlet @ x=0
148
-
149
- temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
150
-
151
-
152
-
153
- time += dt
154
-
155
-
156
-
157
- if n % nout == 0:
158
-
159
- print('n: {0:7d}, time: {1:8.1f}, temp: {2:10.6f}'.format(n, time, temp[nx-1]))
160
-
161
- im_line = ax.plot(gx, temp, 'b')
162
-
163
- im_time = ax.text(0, 110, 'Time = {0:8.1f} [s]'.format(time))
164
-
165
- ims.append(im_line + [im_time])
166
-
167
-
168
-
169
- # graph plot
170
-
171
- ax.set_xlabel('x [m]')
172
-
173
- ax.set_ylabel('Temperature [C]')
174
-
175
- ax.grid()
176
-
177
- anm = animation.ArtistAnimation(fig, ims, interval=50)
178
-
179
- anm.save('animation.gif', writer='pillow')
180
-
181
- plt.show()
182
186
 
183
187
 
184
188
 

3

書式の改善

2021/07/13 07:39

投稿

ab-3
ab-3

スコア5

test CHANGED
File without changes
test CHANGED
@@ -38,11 +38,11 @@
38
38
 
39
39
 
40
40
 
41
- ```
42
41
 
43
- エラーメッセージ
44
42
 
43
+ ### 該当のソースコード
44
+
45
- ``````import matplotlib.pyplot as plt
45
+ import matplotlib.pyplot as plt
46
46
 
47
47
  import matplotlib.animation as animation
48
48
 
@@ -182,16 +182,6 @@
182
182
 
183
183
 
184
184
 
185
- コード
186
-
187
- ```
188
-
189
-
190
-
191
- ### 該当のソースコード
192
-
193
-
194
-
195
185
 
196
186
 
197
187
  ### 試したこと

2

書式の改善

2021/07/13 06:46

投稿

ab-3
ab-3

スコア5

test CHANGED
File without changes
test CHANGED
@@ -42,150 +42,154 @@
42
42
 
43
43
  エラーメッセージ
44
44
 
45
+ ``````import matplotlib.pyplot as plt
46
+
47
+ import matplotlib.animation as animation
48
+
49
+ import numpy as np
50
+
51
+
52
+
53
+ # input parameter
54
+
55
+ den = 8880.0
56
+
57
+ cp = 386.0
58
+
59
+ cond = 398.0
60
+
61
+ temp_bc = 100.0
62
+
63
+ temp_init = 0.0
64
+
65
+ lx = 1.0
66
+
67
+ nx = 101
68
+
69
+ tend = 20000.0
70
+
71
+ dt = 0.1
72
+
73
+ tout = 100.0
74
+
75
+
76
+
77
+ alpha = cond / (den * cp)
78
+
79
+ dx = lx / (nx - 1)
80
+
81
+ nt = int(tend / dt)
82
+
83
+ nout = int(tout / dt)
84
+
85
+
86
+
87
+ #initial condition
88
+
89
+ temp = np.full(nx, temp_init)
90
+
91
+ time = 0.0
92
+
93
+
94
+
95
+ temp_new = np.zeros(nx)
96
+
97
+
98
+
99
+ # Boundary condition
100
+
101
+ temp[0] = temp_bc # Dirichlet @ x=0
102
+
103
+ temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
104
+
105
+
106
+
107
+ # graph data array
108
+
109
+ ims = []
110
+
111
+ fig = plt.figure()
112
+
113
+ ax = fig.add_subplot(1, 1, 1)
114
+
115
+
116
+
117
+ gx = np.zeros(nx)
118
+
119
+ for i in range(nx):
120
+
121
+ gx[i] = i * dx
122
+
123
+
124
+
125
+ # time loop
126
+
127
+ for n in range(1, nt+1):
128
+
129
+ # FTCS
130
+
131
+ for i in range(1, nx-1):
132
+
133
+ temp_new[i] = temp[i] + dt * alpha * (temp[i+1] - 2.0 * temp[i] + temp[i-1]) / (dx * dx)
134
+
135
+
136
+
137
+ # update
138
+
139
+ for i in range(1, nx-1):
140
+
141
+ temp[i] = temp_new[i]
142
+
143
+
144
+
145
+ # Boundary condition
146
+
147
+ temp[0] = temp_bc # Dirichlet @ x=0
148
+
149
+ temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
150
+
151
+
152
+
153
+ time += dt
154
+
155
+
156
+
157
+ if n % nout == 0:
158
+
159
+ print('n: {0:7d}, time: {1:8.1f}, temp: {2:10.6f}'.format(n, time, temp[nx-1]))
160
+
161
+ im_line = ax.plot(gx, temp, 'b')
162
+
163
+ im_time = ax.text(0, 110, 'Time = {0:8.1f} [s]'.format(time))
164
+
165
+ ims.append(im_line + [im_time])
166
+
167
+
168
+
169
+ # graph plot
170
+
171
+ ax.set_xlabel('x [m]')
172
+
173
+ ax.set_ylabel('Temperature [C]')
174
+
175
+ ax.grid()
176
+
177
+ anm = animation.ArtistAnimation(fig, ims, interval=50)
178
+
179
+ anm.save('animation.gif', writer='pillow')
180
+
181
+ plt.show()
182
+
183
+
184
+
185
+ コード
186
+
45
187
  ```
46
188
 
47
189
 
48
190
 
49
191
  ### 該当のソースコード
50
192
 
51
- ```こ```import matplotlib.pyplot as plt
52
-
53
- import matplotlib.animation as animation
54
-
55
- import numpy as np
56
-
57
-
58
-
59
- # input parameter
60
-
61
- den = 8880.0
62
-
63
- cp = 386.0
64
-
65
- cond = 398.0
66
-
67
- temp_bc = 100.0
68
-
69
- temp_init = 0.0
70
-
71
- lx = 1.0
72
-
73
- nx = 101
74
-
75
- tend = 20000.0
76
-
77
- dt = 0.1
78
-
79
- tout = 100.0
80
-
81
-
82
-
83
- alpha = cond / (den * cp)
84
-
85
- dx = lx / (nx - 1)
86
-
87
- nt = int(tend / dt)
88
-
89
- nout = int(tout / dt)
90
-
91
-
92
-
93
- #initial condition
94
-
95
- temp = np.full(nx, temp_init)
96
-
97
- time = 0.0
98
-
99
-
100
-
101
- temp_new = np.zeros(nx)
102
-
103
-
104
-
105
- # Boundary condition
106
-
107
- temp[0] = temp_bc # Dirichlet @ x=0
108
-
109
- temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
110
-
111
-
112
-
113
- # graph data array
114
-
115
- ims = []
116
-
117
- fig = plt.figure()
118
-
119
- ax = fig.add_subplot(1, 1, 1)
120
-
121
-
122
-
123
- gx = np.zeros(nx)
124
-
125
- for i in range(nx):
126
-
127
- gx[i] = i * dx
128
-
129
-
130
-
131
- # time loop
132
-
133
- for n in range(1, nt+1):
134
-
135
- # FTCS
136
-
137
- for i in range(1, nx-1):
138
-
139
- temp_new[i] = temp[i] + dt * alpha * (temp[i+1] - 2.0 * temp[i] + temp[i-1]) / (dx * dx)
140
-
141
-
142
-
143
- # update
144
-
145
- for i in range(1, nx-1):
146
-
147
- temp[i] = temp_new[i]
148
-
149
-
150
-
151
- # Boundary condition
152
-
153
- temp[0] = temp_bc # Dirichlet @ x=0
154
-
155
- temp[nx-1] = temp[nx-2] # Neumann @ x=Lx
156
-
157
-
158
-
159
- time += dt
160
-
161
-
162
-
163
- if n % nout == 0:
164
-
165
- print('n: {0:7d}, time: {1:8.1f}, temp: {2:10.6f}'.format(n, time, temp[nx-1]))
166
-
167
- im_line = ax.plot(gx, temp, 'b')
168
-
169
- im_time = ax.text(0, 110, 'Time = {0:8.1f} [s]'.format(time))
170
-
171
- ims.append(im_line + [im_time])
172
-
173
-
174
-
175
- # graph plot
176
-
177
- ax.set_xlabel('x [m]')
178
-
179
- ax.set_ylabel('Temperature [C]')
180
-
181
- ax.grid()
182
-
183
- anm = animation.ArtistAnimation(fig, ims, interval=50)
184
-
185
- anm.save('animation.gif', writer='pillow')
186
-
187
- plt.show()
188
-
189
193
 
190
194
 
191
195
 

1

書式の改善

2021/07/13 06:38

投稿

ab-3
ab-3

スコア5

test CHANGED
File without changes
test CHANGED
@@ -1,4 +1,8 @@
1
+ ```ここに言語を入力
2
+
3
+ コード
4
+
1
- ### 前提・実現したいこと
5
+ ```### 前提・実現したいこと
2
6
 
3
7
  プログラミング未経験の者です。以下リンク、科学技術計算講座3-熱伝導方程式シミュレーション-FTCS法のプログラミングのなかで
4
8
 
@@ -44,7 +48,7 @@
44
48
 
45
49
  ### 該当のソースコード
46
50
 
47
- import matplotlib.pyplot as plt
51
+ ```こ```import matplotlib.pyplot as plt
48
52
 
49
53
  import matplotlib.animation as animation
50
54
 
@@ -184,6 +188,8 @@
184
188
 
185
189
 
186
190
 
191
+
192
+
187
193
  ### 試したこと
188
194
 
189
195