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Tutorial: Robustness evaluation using optiSLang, SoS and LS-DYNA
Henrick Nilsson, DYNARDO GmbH
08.07.2008
2 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Contents
1. Introduction: Robustness evaluation of crash simulation
2. Process Automation3. Parametrization4. Robustness analysis5. Statistical Postprocessing6. SoS
1. Introduction
Tutorial:Robustness evaluation of crash simulation using
optiSLang, SoS and LS-DYNA
4 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Introduction
• This is a tutorial of how to perform a robustness analysis of a crash simulation in optiSLang version 3.0.0 combined with the finite element software LS-DYNA (lsprepost2_2_pc_xp32).
• This tutorial will include how to set up:• Process Automation in optiSLang• Parametrization in optiSLang• Robustness analysis in optiSLang
• Also how to define settings in SoS version 1.0.0 and then postprocess the results.
• Then finally to export SoS data to optiSLang for further postprocessing.
• Everything is done on a windows platform (Microsoft Windows XP Proffessional 2002)
5 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
LS-DYNA model – Metro car model
• Four different parts will be analyzed:
- Firewall (part 36)
- Rail-FT-L (part 59)
- Rail-FT-R (part 60)
- Bumper-FT-1 (part 135)
Firewall
Rail-FT-L
Rail-FT-R
Bumper-FT-1
6 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
LS-DYNA model – Metro car model
• Scatter of the input parameters:
- Thickness change for all four parts
- Impact angle ±2°, truncated normal distribution.
- Velocity ±0.2 km/h, truncate normal distribution.
- Friction (wall) ±0.1, uniform distribution.
• Output responses:
- Displacement of Rail-FT-R (Node 61038)
- Displacement of Rail-FT-L (Node 60079)
- Firewall intrusion Left (Node 39063)
- Firewall intrusion Right (Node 39142)
2. Process Automation
8 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
optiSLang run script (Windows)
• Run script used in optiSLang.Make a copy of post.cfile
Run the LS-DYNA analysis
Run the post.cfile in LsPrepost
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Post.cfile (LS-DYNA)
• This post.cfile from LS-DYNA generates output results such as: - “out_internal_energy.txt“ - “out_hourglass_energy.txt“ - “out_dispx_rail_r.txt“ - “out_dispx_rail.l.txt“ - “out_firewall_int_l.txt“ - “out_firewall_int_r.txt“
• These results will then be used in the parametrization procedure in optiSLang.
3. Parametrization
optiSLang
11 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
optiSLang• Tutorial - Parametrization
• Defining input parameters
• Defining output parameters
• Defining vector elements
• Defining signal objects
12 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Creating a Parametrization problem
1. Double click to create a new “Parameterize Problem“ in the workflow tree.
2. Define a workflow name:“Parametrize_Metro_Robustness
3. Define a name of the problem specification: “Parametrize_Metro_Robustness“.
4. Select “Show overview at the end“.
5. Then click “Start“.
6. The following windows will appear, a “Parameter Editor“ and a “Parameter Tree“.
1. 2.
3.
4.
5.
6.
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Open an input file: MetroVO2c_wall.key
7. Click on the “Open file icon“ and browse for the file:‘MetroVO2c_wall.key‘.
8. Then click “Open“.
9. Choose “INPUT“ to confirm that it is an input file.
7.
8.
9.
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Setting the input parameters
10. Define the first parameter. Highlight a value in the input file.
11. Click on the “parameter button“.
12. Define parameter name: “VELOCITY“. Then click “OK“.
10.
11.
12.
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Setting the input parameters
13. Double click on “VELOCITY“ parameter in the “Parameter Tree“.
14. Define settings in the “Parameter Settings“ window. Then click “OK“. 13.
14.
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Setting the input parameters
15. Define next parameter. Highlight a value in the input file.
16. Click on the “parameter button“.
17. Define parameter name: “IMPACT_ANGLE“. Then click “OK“.
15.
16.
17.
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Setting the input parameters
18. Double click on “IMPACT_ANGLE“ in the “Parameter Tree“.
19. Define settings in the “Parameter Settings“ window. Then click “OK“.
19.
18.
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Setting the input parameters
20. Highlight a value in the input file.
21. Click on the “parameter button“.
22. Define parameter name: “FRICTION_WALL“. Then click “OK“.
20.
21.
22.
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Setting the input parameters
23. Double click on “FRICTION_WALL“ in the “Parameter Tree“.
24. Define settings in the “Parameter Settings“ window. Then click “OK“.
24.
23.
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Setting the input parameters
25. Highlight a value in the input file.
26. Click on the “parameter button“.
27. Define parameter name: “YIELD_P36“. Then click “OK“.
26.
25.
27.
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Setting the input parameters
28. Double click on “YIELD_P36“ in the “Parameter Tree“.
29. Define settings in the “Parameter Settings“ window. Then click “OK“.
29.
28.
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Setting the input parameters
30. Highlight a value in the input file.
31. Click on the “parameter button“.
32. Define parameter name: “YIELD_P59“. Then click “OK“.
31.
30.
32.
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Setting the input parameters
33. Double click on “YIELD_P59“ in the “Parameter Tree“.
34. Define settings in the “Parameter Settings“ window. Then click “OK“.
34.
33.
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Setting the input parameters
35. Highlight a value in the input file.
36. Click on the “parameter button“.
37. Define parameter name: “YIELD_P60“. Then click “OK“.
36.
35.
37.
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Setting the input parameters
38. Double click on “YIELD_P60“ in the “Parameter Tree“.
39. Define settings in the “Parameter Settings“ window. Then click “OK“.
39.
38.
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Setting the input parameters
40. Highlight a value in the input file.
41. Click on the “parameter button“.
42. Define parameter name: “YIELD_P135“. Then click “OK“.
41.
40.
42.
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Setting the input parameters
43. Double click on “YIELD_P135“ in the “Parameter Tree“.
44. Define settings in the “Parameter Settings“ window. Then click “OK“.
44.
43.
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Setting the input parameters
45. Highlight a value in the input file.
46. Click on the “parameter button“.
47. Define parameter name: “THCK_P36“. Then click “OK“.
46.
45.
47.
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Setting the input parameters
48. Double click on “THCK_P36“ in the “Parameter Tree“.
49. Define settings in the “Parameter Settings“ window. Then click “OK“.
49.
48.
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Setting the input parameters
50. Highlight a value in the input file.
51. Click on the “parameter button“.
52. Define parameter name: “THCK_P59“. Then click “OK“.
51.
50.
52.
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Setting the input parameters
53. Double click on “THCK_P59“ in the “Parameter Tree“.
54. Define settings in the “Parameter Settings“ window. Then click “OK“.
54.
53.
32 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
55. Highlight a value in the input file.
56. Click on the “parameter button“.
57. Define parameter name: “THCK_P60“. Then click “OK“.
56.
55.
57.
33 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
58. Double click on “THCK_P60“ in the “Parameter Tree“.
59. Define settings in the “Parameter Settings“ window. Then click “OK“.
59.
58.
34 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
60. Highlight a value in the input file.
61. Click on the “parameter button“.
62. Define parameter name: “THCK_P135“. Then click “OK“.
61.
60.
62.
35 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
63. Double click on “THCK_P135“ in the “Parameter Tree“.
64. Define settings in the “Parameter Settings“ window. Then click “OK“.
64.
63.
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Setting the input parameters
65. Highlight a value in the input file.
66. Click on the “Dependent variable button“.
67. Define parameter name: “CURVE36_SCALE“. Then click “OK“.
66.
65.
67.
37 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
68. Double click on “CURVE36_SCALE“ in the “Parameter Tree“.
69. Define settings in the “Simple Dependent Variable Dialog“ window. Then click “OK“.
69.
68.
38 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
70. Highlight a value in the input file.
71. Click on the “Dependent variable button“.
72. Define parameter name: “CURVE58_SCALE“. Then click “OK“.
71.
70.
72.
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Setting the input parameters
73. Double click on “CURVE58_SCALE“ in the “Parameter Tree“.
74. Define settings in the “Simple Dependent Variable Dialog“ window. Then click “OK“.
74. 73.
40 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
75. Highlight a value in the input file.
76. Click on the “Dependent variable button“.
77. Define parameter name: “CURVE59_SCALE“. Then click “OK“.
76.
75.
77.
41 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
78. Double click on “CURVE59_SCALE“ in the “Parameter Tree“.
79. Define settings in the “Simple Dependent Variable Dialog“ window. Then click “OK“.
79.78.
42 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
80. Highlight a value in the input file.
81. Click on the “Dependent variable button“.
82. Define parameter name: “CURVE125_SCALE“. Then click “OK“.
81.
80.
82.
43 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
83. Double click on “CURVE125_SCALE“ in the “Parameter Tree“.
84. Define settings in the “Simple Dependent Variable Dialog“ window. Then click “OK“.
84.
83.
44 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
85. Highlight a value in the input file.
86. Click on the “Copy parameter button“.
87. For “parameter reference“ choose “VELOCTY“ to create a copy of the velocity.
88. Then click “OK“.
86.
85.
87.
88.
45 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
89. Highlight the next velocity value.
90. Choose “VELOCITY“ as “parameter reference“.
91. Then click “OK“.
89.
90.
91.
46 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
92. Highlight the next velocity value.
93. Choose “VELOCITY“ as “parameter reference“.
94. Then click “OK“.
95. There are now 3 copies of the velocity in the “Parameter Tree“.
92.
93.
94.
95.
47 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
96. The next step is to create copies of the thicknesses. Highlight the second thickness value for part 36.
97. Choose “THCK_P36“ as “parameter reference“.
98. Then click “OK“. 96. 97.
98.
48 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
99. Highlight the third thickness value for part 36.
100. Choose “THCK_P36“ as “parameter reference“.
101. Then click “OK“.
100.99.
101.
49 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
102. Highlight the fourth thickness value for part 36.
103. Choose “THCK_P36“ as “parameter reference“.
104. Then click “OK“.
105. There are now 3 copies of the thicknesses of part 36 in the “Parameter Tree“.
104.
102.
103.
105.
50 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
106. Then create copies of the thicknesses for part 59. Highlight the second thickness value.
107. Choose “THCK_P59“ as “parameter reference“.
108. Then click “OK“.
108.
106.107.
51 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
109. Highlight the third thickness value for part 59.
110. Choose “THCK_P59“ as “parameter reference“.
111. Then click “OK“.
110.
109.
111.
52 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
112. Highlight the fourth thickness value for part 59.
113. Choose “THCK_P59“ as “parameter reference“.
114. Then click “OK“.
115. There are now 3 copies of the thicknesses of part 59 in the “Parameter Tree“. 113.
112.
114.
115.
53 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
116. Then create copies of the thicknesses for part 60. Highlight the second thickness value.
117. Choose “THCK_P60“ as “parameter reference“.
118. Then click “OK“.
118.
116. 117.
54 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
119. Highlight the third thickness value for part 60.
120. Choose “THCK_P60“ as “parameter reference“.
121. Then click “OK“.
120.119.
121.
55 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
122. Highlight the fourth thickness value for part 60.
123. Choose “THCK_P60“ as “parameter reference“.
124. Then click “OK“.
125. There are now 3 copies of the thicknesses of part 60 in the “Parameter Tree“.
123.
122.
124.
125.
56 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
126. Then create copies of the thicknesses for part 135. Highlight the second thickness value.
127. Choose “THCK_P135“ as “parameter reference“.
128. Then click “OK“.
128.
126.
127.
57 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
129. Highlight the third thickness value for part 135.
130. Choose “THCK_P135“ as “parameter reference“.
131. Then click “OK“.
130.
129.
131.
58 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the input parameters
132. Highlight the fourth thickness value for part 135.
133. Choose “THCK_P135“ as “parameter reference“.
134. Then click “OK“.
135. There are now 3 copies of the thicknesses of part 135 in the “Parameter Tree“. 133.
132.
134.
135.
59 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the output responses
136. The next step is to define the first output response file. Click on the “Open“ button and browse for the “out_internal_energy.txt“ file.
137. Click on “Open“.
138. Then choose “OUTPUT“ in the “File type dialog“ window.
136.
137.
138.
60 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the output responses
139. Highlight the “Maxval“ value.
140. Click on the “Parameter button“.
141. Define a name: “INT_ENERGY_MAX“ and click “OK“.
140.
141.
139.
61 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Parametrize output vectors
142. Highlight a string in the “Output File“: “Curveplot“.
143. Click on the “Add the string to repeated block marker set“ button.
144. In the “Repeated Marker“ window, set start, increment and end values. Also select to use single steps.
145. Then click “OK“ to create a repeated block marker.
142. 143.
144.
145.
62 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Parametrize output vectors
146. Highlight a value in the first column: “0.0000000000e+00“.
147. Click on the “Add the selected string to an vector“ button.
148. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
149. Define “GLSTAT_v“ as a name for the vector. Then click “OK“.
146.
147.
148.
149.
63 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Parametrize output vectors
150. Highlight a value in the second column: “9.999996827e-21“.
151. Click on the “Add the selected string to an vector“ button.
152. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
153. Define “INT_ENERGY_v“ as a name for the vector. Then click “OK“.
150.
151.
152.
153.
64 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the output responses
154. Click on the “Open“ button and browse for the “out_hourglass_energy.txt“ file.
155. Click on “Open“.
156. Then choose “OUTPUT“ in the “File type dialog“ window.
154.
155.
156.
65 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Setting the output responses
157. Highlight the “Maxval“ value.
158. Click on the “Parameter button“.
159. Define a name: “HG_ENERGY_MAX“ and click “OK“.
158.
159.
157.
66 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Parametrize output vectors
160. Highlight a string in the “Output File“: “Curveplot“.
161. Click on the “Add the string to repeated block marker set“ button.
162. In the “Repeated Marker“ window, set start, increment and end values. Also select to use single steps.
163. Then click “OK“ to create a repeated block marker.
160. 161.
162.
163.
67 Tutorial - Robustness evaluation using optiSLang, SoS and LS-DYNA
Parametrize output vectors
164. Highlight a value in the second column: “0.0000000000e+00“.
165. Click on the “Add the selected string to an vector“ button.
166. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
167. Define “HG_ENERGY_v“ as a name for the vector. Then click “OK“.
164.
165.
166.
167.
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Setting the output responses
168. Click on the “Open“ button and browse for the “out_dispx_rail_l.txt“ file.
169. Click on “Open“.
170. Then choose “OUTPUT“ in the “File type dialog“ window.
168.
170.
169.
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Setting the output responses
171. Highlight the “Maxval“ value.
172. Click on the “Parameter button“.
173. Define a name: “DISP_RAIL_L_MAX“ and click “OK“.
172.
173.
171.
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Parametrize output vectors
174. Highlight a string in the “Output File“: “Curveplot“.
175. Click on the “Add the string to repeated block marker set“ button.
176. In the “Repeated Marker“ window, set start, increment and end values. Also select to use single steps.
177. Then click “OK“ to create a repeated block marker.
174. 175.
176.
177.
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Parametrize output vectors
178. Highlight a value in the first column: “0.0000000000e+00“.
179. Click on the “Add the selected string to an vector“ button.
180. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
181. Define “NODOUT_v“ as a name for the vector. Then click “OK“.
178.
179.
180.
181.
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Parametrize output vectors
182. Highlight a value in the second column: “0.0000000000e+00“.
183. Click on the “Add the selected string to an vector“ button.
184. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
185. Define “DISP_RAIL_l_v“ as a name for the vector. Then click “OK“.
182.
183.
184.
185.
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Setting the output responses
189. Click on the “Open“ button and browse for the “out_dispx_rail_r.txt“ file.
190. Click on “Open“.
191. Then choose “OUTPUT“ in the “File type dialog“ window.
189.
191.
190.
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Setting the output responses
192. Highlight the “Maxval“ value.
193. Click on the “Parameter button“.
194. Define a name: “DISP_RAIL_R_MAX“ and click “OK“.
193.
194.
192.
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Parametrize output vectors
195. Highlight a string in the “Output File“: “Curveplot“.
196. Click on the “Add the string to repeated block marker set“ button.
197. In the “Repeated Marker“ window, set start, increment and end values. Also select to use single steps.
198. Then click “OK“ to create a repeated block marker.
195. 196.
197.
198.
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Parametrize output vectors
199. Highlight a value in the second column: “0.0000000000e+00“.
200. Click on the “Add the selected string to an vector“ button.
201. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
202. Define “DISP_RAIL_R_v“ as a name for the vector. Then click “OK“.
199.
200.
201.
202.
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Setting the output responses
203. Click on the “Open“ button and browse for the “out_firewall_int_l.txt“ file.
204. Click on “Open“.
205. Then choose “OUTPUT“ in the “File type dialog“ window.
203.
205.
204.
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Setting the output responses
206. Highlight the “Maxval“ value.
207. Click on the “Parameter button“.
208. Define a name: “FIREWALL_INT_L_MAX“ and click “OK“.
207.
208.
206.
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Parametrize output vectors
209. Highlight a string in the “Output File“: “Curveplot“.
210. Click on the “Add the string to repeated block marker set“ button.
211. In the “Repeated Marker“ window, set start, increment and end values. Also select to use single steps.
212. Then click “OK“ to create a repeated block marker.
209. 210.
211.
212.
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Parametrize output vectors
213. Highlight a value in the second column: “0.0000000000e+00“.
214. Click on the “Add the selected string to an vector“ button.
215. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
216. Define “FIREWALL_INT_L_v“ as a name for the vector. Then click “OK“.
213.
214.
215.
216.
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Setting the output responses
217. Click on the “Open“ button and browse for the “out_firewall_int_r.txt“ file.
218. Click on “Open“.
219. Then choose “OUTPUT“ in the “File type dialog“ window.
217.
219.
218.
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Setting the output responses
220. Highlight the “Maxval“ value.
221. Click on the “Parameter button“.
222. Define a name: “FIREWALL_INT_R_MAX“ and click “OK“.
221.
222.
220.
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Parametrize output vectors
223. Highlight a string in the “Output File“: “Curveplot“.
224. Click on the “Add the string to repeated block marker set“ button.
225. In the “Repeated Marker“ window, set start, increment and end values. Also select to use single steps.
226. Then click “OK“ to create a repeated block marker.
223. 224.
225.
226.
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Parametrize output vectors
227. Highlight a value in the second column: “0.0000000000e+00“.
228. Click on the “Add the selected string to an vector“ button.
229. In the “Vector Element Dialog“ window choose “(whole file,9,1,0)“ for the repeated block marker.
230. Define “FIREWALL_INT_R_v“ as a name for the vector. Then click “OK“.
227.
228.
229.
230.
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Setting the output responses
231. Click on the “Open“ button and browse for the “dyna.out“ file.
232. Click on “Open“.
233. Then choose “OUTPUT“ in the “File type dialog“ window.
231.
233.
232.
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Setting the output responses
234. Highlight the string “Elapsed time“ value.
235. Click on the “ Block marker buttom“.
236. Click on the “Parameter“ button. Define a name: “CPU_TIME“ and click “OK“. Then Highlight the string “Normal termination“ and click on the green buttom in the right corner to define a sucessful string.
235.
234.
236.
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Setting the output responses
237. The “Parameter Tree“ consists now of one input file and seven output files.
238. An overview of the “Parameter Tree“ with parameters and vector elements.
238.
237.
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Defining signals
239. Double click on the “signal section“ button in the “Parameter Tree“.
240. Click on “Signal Object“ and a “Signal Object“ window will appear.
241. In the “Signal Object“ window, define a name: “GLSTAT“.
242. Define a “Abscissa reference“: “GLSTAT_v“.
243. Define a “Label“:“TIME [s]“.
244. Click “Add Channel“ to add a channel to the signal object.
245. Define a “Channel Reference“, “Name“ and “Axis Label“ for every channel.
246. Then click “OK“.
239.
240.
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242.
243.
244.
245.
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Defining signals
247. Double click on the “signal section“ button in the “Parameter Tree“.
248. Click on “Signal Object“ and a “Signal Object“ window will appear.
249. In the “Signal Object“ window, define a name: “NODOUT“.
250. Define a “Abscissa reference“: “NODOUT_v“.
251. Define a “Label“:“TIME [s]“.
252. Click “Add Channel“ to add a channel to the signal object.
253. Define a “Channel Reference“, “Name“ and “Axis Label“ for every channel.
254. Then click “OK“.
247.
248.
249.
250.
251.
252.
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Defining signals
255. The following signal objects for the parameter “GLSTAT“ are created in the “Parameter Tree“.
256. Also signal objects for parameter “NODOUT“ are created in the same way.
257. Then go to the “Tree“ menu and choose “Save“ to save the project.
255.
256.
257.
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Defining signals
258. An overview of the input parameters and the output parameters.
258.
4. Robustness analysis
optiSLang
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Robustness analysis
• Running the analysis in optiSlang
• Distribution of the parameters (scatter)
• Important results
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Setting up a robustness analysis
259. Double click on the “Robustness_analysis“ workflow.
260. Define an “Workflow name“: “Robustness_Metro_crash“.
261. Define a name in the “Workflow identification“:“Metro_crash“.
262. Browse for the “problem specification file“:
‘Parametrize_Metro_Robustness.pro‘.
263. Use “Latin hypercube“ for “Sampling method“.
264. Number of samples will be 100.
259.
260.
261.
262.
263.
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Setting up a robustness analysis
265. Click on “Run a script“ and browse for the run script file:‘MetroR_VO2c.run‘.
266. Then click “Start“ to solve the robustness analysis.
265.
266.
5. Postprocessor
optiSLang
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Result monitoring
267. Double click on the “Result monotoring“ workflow.
268. Define an “Workflow name“:“Result_Metro_Robustness“.
269. Browse for the “Result or data file“: ‘Save_Metro_ROBUST.bin‘ and click “Select“.
270. Then click “Start“ to monitor the robustness results.
267.
268.
269.
270.
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Results evaluation
271. The “Statistics“ postprocessing window for optiSLang.
272. A linear correlation matrix over all inputs and responses.
273. A quadratic correlation matrix over all inputs and responses.
274. An anthill plot for input “VELOCITY“ vs. input “IMPACT_ANGLE“.
275. A histogram for input “VELOCITY“. Shows for example mean, sigma, coefficient of variation and surves as a statistical confirmation of the sample set.
276. A histogram for input “IMPACT_ANGLE“.
271.
272.
273. 274.
275.
276.
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Results evaluation
277. Under “Modify data“ check off the “Significance filter“ box.
278. In the “Linear correlation matrix“ the input parameter “IMPACT_ANGLE“ has the strongest influence on output “DISP_RAIL_L_MAX“ and “DISP_RAIL_R_MAX“.
279. Also in the “Quadratic correlation matrix“ you can see that the “IMPACT_ANGLE“ has a strong influence on output “DISP_RAIL_L_MAX“ and “DISP_RAIL_R_MAX“.
280. Under “Significance values“ choose “CoImportance“.
277.
279.
278.
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Results evaluation
280. Click on the red box in the “Linear correlation matrix“ to select input “IMPACT_ANGLE“ and output “DISP_RAIL_L_MAX“.
281. An anthill plot over the two parameters shows an almost linear correlation.
282. The Coefficient of Importance (linear) diagram shows that the “IMPACT_ANGLE“ has 77 % of influence on “DISP_RAIL_L_MAX“.
283. Click on the orange box in the “Quadratic correlation matrix“ to select input “IMPACT_ANGLE“ and output “DISP_RAIL_L_MAX“.
284. The Coefficient of Importance (quadratic) diagram shows that the “IMPACT_ANGLE“ has 66 % of influence on “DISP_RAIL_L_MAX“.
285. This anthill plot shows an almost linear correlation between the parameters.
282.
281.
280.
283.
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Results evaluation
286. Under “Distribution fitting“ click on “Automatic“. Then optiSLang will automatically choose the best fit of distribution. In this case the “Normal“ distribution is the best fit.
287. A histogram of “DISP_RAIL_L_MAX“ with a normal distribution is showed.
288. To get additional information of the histogram choose “Advanced histo data“ under “Histogram info“.
289. Then click on the “i“ in the corner of the histogram.
290. A list of all histogram data will appear. The mean value is 267 and the standard deviation is 8.97.
289.
286.287.
288.290.
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Results evaluation
291. Select the histogram of the second variable “IMPACT_ANGLE“.
292. Click on “Automatic“ and optiSLang choose the normal distribution as best fit.
293. Under “Histogram info“ choose “Advanced histo data“.
294. Check the boxes for “Defined PDF info“ and “Fitted PDF info“.
295. Click on the “i“ to show the histogram data.
296. The “Histogram data“ shows a mean value of 0.09719 and a standard deviation of 1.285 for the “Fitted PDF“. This plot is used to check if the fitted distribution of the input parameter is equal to the defined distribution.
292.
291.
293.
294.
295.
296.
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Results evaluation
297. Select the blue box in the “Linear correlation matrix“.
298. The anthill plot shows a nearly linear correlation between “DISP_RAIL_R_MAX“ and “IMPACT_ANGLE“.
299. In the linear “Coefficient of Importance“ diagram the “IMPACT_ANGLE“ has 86 % of influence on “DISP_RAIL_R_MAX“.
300. Select the orange box in the “Quadratic correlation matrix“.
301. A nearly quadratic correlation between the parameters is showed in the anthill plot.
302. The quadratic coefficient of importance shows that the “IMPACT_ANGLE“ has a signicant influence with 71 %.
297.
299.
300.
301.
298.
302.
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Results evaluation
303. Under “Distribution fitting“ click on “Automatic“. Then optiSLang will automatically choose the best fit of distribution. In this case the “Normal“ distribution is the best fit.
304. A histogram of “DISP_RAIL_R_MAX“ with a normal distribution is showed.
305. To get additional information of the histogram choose “Advanced histo data“ under “Histogram info“.
306. Then click on the “i“ in the corner of the histogram.
307. A list of all histogram data will appear. The mean value is 257.6 and the standard deviation is 7.429.
306.
303.304.
305.
307.
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Signal results
308. Go to the main menu under “Window“ and choose “Hide“ to hide every window.
309. Then click on “Show signal data“ six times to create six signal plot windows.
310. Under “Window“ in the main menu choose “Tile optimal“ to refit the windows in optiSLang
310.
308.
309.
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Signal results
311. Select the second signal window.
312. Under “Channel“ choose “INT_ENERGY“.
313. The signal plot of signal “GLSTAT“ and channel “INT_ENERGY“ is created.
314. Select the third signal window.
315. Choose “NODOUT“ as “Signal“.
316. The channel is set to be “DISP_RAIL_L “. Repeat this procedure for the remaining signal plots.
313.
312.
311.
315.
316.
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Signal results
317. Two different signal plot windows of signal GLSTAT with two channels, INT_ENERGY and HG_ENERGY.
318. Four different signal plot windows of signal NODOUT with four channels, DISP_RAIL_L, DISP_RAIL_R, FIREWALL_INT_L and FIREWALL_INT_R.
317. 318.
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Signal results
305. The signal results of displacement of node 61038.
306. The signal results of displacement of node 60079.
305.
306.
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Signal results
307. The signal results of displacement of node 39063.
308. The signal results of displacement of node 39142.
307.
308.
6. SoS (Statistics on Structure)
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SoS (Statistics on Structure)
• Used as a postprocessor for visualization of statistical measures on FE-structures.
• Commonly used in forming simulations or crash analyses
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SoS
• From LsPrepost 10 different output files will be written out. These output files are:
- 4parts_elem_node.out (Structure file)
- 4parts_plast_strain_26.out (Element results, time step 26)- 4parts_plast_strain_36.out (Element results, time step 36 )- 4parts_plast_strain_52.out (Element results, time step 52)- 4parts_vonmises_26.out (Element results, time step 26)- 4parts_vonmises_36.out (Element results, time step 36)- 4parts_vonmises_52.out (Element results, time step 52)- 4parts_xdisp_26.out (Nodal results, time step 26)- 4parts_xdisp_36.out (Nodal results, time step 36)- 4parts_xdisp_52.out (Nodal results, time step 52)
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SoS
SoS
Design_0001
Nodal/Element results
Design_0002
Nodal/Element results
Design_0100
Nodal/Element results
Geometry:
Elements/Nodes
A block scheme of the results linked to SoS.
*
*
*
*
Output files:
4parts_plast_strain_26.out
4parts_plast_strain_36.out
4parts_plast_strain_52.out
4parts_vonmises_26.out
4parts_vonmises_36.out
4parts_vonmises_52.out
4parts_xdisp_26.out
4parts_xdisp_36.out
4parts_xdisp_52.out
Output file:
4parts_elem_node.out
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Extraction of elements and nodes
LS-PREPOST
-nographics c=*.cfile
Output file; Elements and nodal coordinates of 4 parts
Run this batch script
LS-DYNA cfile created in LS-PrePost
This output file will be used in SoS.
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Extraction of element/nodal resultsLS-DYNA cfile created in LS-PrePost
LS-PREPOST
-nographics c=*.cfile
Run this batch script
These output files will be be used in SoS.
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SoS - Settings
1. Under “Project“, start with defining the Project name: “Metro_crash“.
2. Then choose the path for the working directory where SoS database will be stored. Click “OK“.
3. Then click “Start project“ to continue.
4. A “WARNING“ window pops up and click “OK“.
1.
2.
3.
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SoS - Settings
5. Under “Structure“, a “Structure name“ can be defined: “4_parts“.
6. An output file from LsPrepost consisting of elements and nodes has been written out, “4parts_elem_node.out“. This output file will be used as the “Structure file“ in SoS. Browse for the output file under “Structure file“.
7. Select the “LSDYNA-k-format under “Format“.
8. Check the box “Show structure“ to visualize the geometry in a window.
9. Then click “Apply“ to visualize the structure in SoS.
6.
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SoS - Settings
10. Three different results from LsPrepost such as plastic strain, vonMises stress and displacement in x-direction have been written to output files at three different times steps, 26, 36 and 52. The total amount of output files are 9. Under “File“ browse for the first output file “4parts_plast_strain_26.out“ in the first design directory.
11. Choose the “LS-DYNA-k-format“ under “Format“.
12. Click on the positive sign at the corner and the first output file is inserted under “Files:“.
13. Then repeat steps 10-12 for the rest of the output files, “4parts_plast_strain_36.out“ “4parts_plast_strain_52.out““4parts_vonmises_26.out“ “4parts_vonmises_36.out““4parts_vonmises_52.out“ “4parts_xdisp_26.out““4parts_xdisp_36.out““4parts_xdisp_52.out“.
14. Under “Base“ the path “/home/tmp/blum1/MetroR-VO2c_wall/metro_ROBUST/Design_0001“ is automatically choosen.
10.
11.
12.
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SoS - Settings
15. Then click on the “Update parameter list“ button and the output results are listed under “Output Parameters“.
16. Check a box for every output parameter under “Select“.
17. Then click “Apply“.
15.
16.
17.
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SoS - Settings
18. Under “Designs“, browse for the directory containing the design directories from the robustness evaluation. Directory: “C:\.....\Robustness_Metro_crash_ROBUST“ and click “OK“.
19. Under “Numbers“ click the magnifying glass icon to automatically choose all design directories inside the “Robustness_Metro_crash_ROBUST“ directory.
20. Under “Input Parameters“ check the box to “Consider Input Parameters“.
21. Browse for the Robustness result file: “Save_Robustness_metro.bin“.
22. Then click “Apply“. 22.
18.
19.
20.21.
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SoS - Settings
23. Under “Node – Projection“ choose “Not desired“.
24. Under “Element – Projection“ choose “Not desired“.
25. Then click on “Apply“.
25.
23.
24.
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SoS - Settings
26. Under “Statistic“ chech the box to show Statistic Results.
27. Under “Correlation CoD“ check the box to show Correlation and CoD.
28. Under “QCS“ check the box to show Quality Capacity Statistics.
29. Then click “Apply“ to start SoS.
26.
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SoS - postprocessor
30. The structure which consists of 4 parts with 786 nodes and 684 elements can be seen in SoS.
31. Click on “Statistics“ on the left.
32. Choose “Output data“ under “Palette range by“.
33. Choose “Effective Plastic Strain_26“ as “Output value“.
34. Under “Value“ choose “Maximum“.
30.
31.
32.
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SoS - postprocessor
35. The maximum value for every element from all design directories.- Effective Plastic Strain at time step 26
35.
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SoS - postprocessor
36. Change under “Value“ to the “Coefficient of variation“. Now you can see the coefficient of variation of every element.
37. Change again under “Value“ to “Mean“ to visualize the mean value of every element.
36.
37.
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SoS - postprocessor
38. To visualize the standard deviation of every element change under “Value“ to “Standard deviation“.
38.
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SoS - postprocessor
39. Click on “Correlation + CoD“.
40. Under “Coefficient“ choose “CoD“ which means to visualize the coefficient of determination for every element of the structure.
41. As “Output value“ choose “Effective Plastic Strain_26“.
42. Then choose “YIELD_P36“ as “Input value“. Here can we see that the yield stress of part 36 (firewall) is highly correlated to the plastic strain at time step 26.
39.
40.
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SoS - postprocessor
43. Under “Coefficient“ choose “Correlation (lin).
44. As “Output value“ choose “X-displacement_26“.
45. Then choose “IMPACT_ANGLE“ as “Input value“. We know from the robustness analysis in optiSLang that the impact angle has a significant influence on the displacement in x-direction. In SoS we can see that impact angle is highly correlated to the displacement in x-direction on the left side of the bumper and a little part of the left rail.
43.44.45.
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Export SoS data to optiSLang
46. The next step is to export SoS data to optiSLang.
47. Choose “Current data“ under “Palette range by“.
48. For example choose “Effective Plastic Strain_52“ as “Output value“.
49. Under “Value“ choose “Mean“.
50. Under “Selection mode“ choose “Export Selection“.
51. Hold down the Ctrl button on the keyboard and select elements in the GUI window. A black shadow of the elements will indicate that they are selected.
52. Then go to “Export“ in the main menu and choose “OptiSLang result file“.
53. A “SLang-Question“ window pops up and click on “Yes“ to write a OSL result file.
54. In the “Save File“ window define a Filename: “eps_52.bin“ and click “OK“.
55. Click on “No“.
48.49.
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Export SoS data to optiSLang
56. Open optiSLang and double click on “Result_monotoring“.
57. Define a “Workflow name“: “Result_SoS_eps_52“
58. Browse for the binary result file: “eps_52.bin“ and Click “Select“.
59. Then click Start“.
56.
57.
58.
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optiSLang postprocessor
60. The linear correlation matrix shows the linear correlation between all the inputs and the output “Effective Plastic Strain“ of every selected element.
61. In the “Linear correlation matrix“ we can see that input “YIELD_P60“ has the strongest influence on the plastic strain of element 61010.
62. The “Coefficient of Importance“ shows that “YIELD_P60“ has the strongest influence with 48 %.
60.
62.
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optiSLang postprocessor
63. The histogram of output “Effective Plastic Strain“ at time step 52 of element 61010.
64. The histogram of input “YIELD_P60“.
63.
64.
