Dynamic Reliability Design of Multicomponent Structure with Improved Weighted Regression Distributed Collaborative Surrogate Model Method

Table 2

The training samples of input variables and output responses.

(m/s)	(×10^6 Pa)	(×10^5 Pa)	(K)	(kg/m^3)	(rad/s)	(×10^−3 m)	(×10^−3 m)	(×10^−6 m)	(×10^−6 m)
153.94	2.075	5.762	1225.56	8698.60	1198.13	0.961	1.292	1.041	3.829	0.161	0.062
159.27	1.967	5.661	1163.76	8455.30	1122.44	0.904	1.207	1.158	4.312	0.144	0.055
147.73	1.902	5.844	1178.88	8598.03	1104.22	0.908	1.247	2.808	9.975	0.060	0.024
156.39	2.114	5.738	1238.16	8662.91	1130.85	0.967	1.273	1.673	6.615	0.010	0.036
148.39	1.912	5.973	1230.6	8526.67	1149.07	0.966	1.255	6.694	24.59	0.025	0.009
168.15	2.001	6.064	1188.9	8549.37	1168.70	0.921	1.275	4.823	17.96	0.035	0.013
155.50	2.111	6.002	1257.12	8604.52	1220.56	0.984	1.339	2.439	8.694	0.069	0.027
167.93	1.881	5.733	1230.12	8636.96	1217.75	0.968	1.296	2.534	9.045	0.066	0.026
150.39	1.938	5.834	1179.96	8611.01	1214.95	0.918	1.289	3.089	12.01	0.054	0.020
149.28	1.929	6.012	1191.24	8711.57	1158.88	0.931	1.248	1.865	6.947	0.089	0.034
152.39	1.895	5.781	1184.52	8633.72	1219.15	0.926	1.281	0.715	2.842	0.234	0.084
149.07	1.974	6.040	1253.94	8497.47	1118.24	0.975	1.285	0.934	3.518	0.178	0.068
153.28	1.941	6.021	1189.98	8478.01	1101.42	0.922	1.229	0.703	2.381	0.238	0.100
160.61	1.972	5.916	1222.62	8627.23	1123.84	0.951	1.267	0.388	0.239	0.431	1
151.51	2.118	5.676	1238.88	8406.64	1112.63	0.965	1.258	0.588	1.609	0.284	0.148
164.16	2.070	5.752	1222.14	8653.18	1143.47	0.950	1.279	1.673	6.128	0.099	0.039
163.49	1.922	5.930	1186.98	8461.79	1230.37	0.930	1.274	1.058	3.973	0.158	0.060
158.39	2.068	6.098	1173.72	8536.40	1164.49	0.909	1.260	4.719	18.38	0.035	0.013
148.62	1.994	5.704	1223.58	8649.94	1102.82	0.951	1.259	0.857	3.332	0.195	0.072
148.18	2.046	5.728	1208.1	8539.64	1139.26	0.944	1.244	5.296	19.75	0.032	0.012
153.06	1.984	5.810	1229.94	8578.57	1167.29	0.963	1.276	2.960	11.30	0.056	0.021
164.61	2.037	5.887	1147.74	8601.28	1185.52	0.894	1.235	2.274	8.451	0.073	0.028
168.82	2.058	5.647	1217.22	8630.47	1147.67	0.949	1.269	0.403	1.348	0.414	0.177
149.73	1.948	5.685	1222.02	8588.30	1165.89	0.949	1.297	5.475	19.84	0.031	0.012
161.27	1.910	5.920	1186.02	8429.35	1223.36	0.932	1.256	3.458	13.09	0.048	0.018
158.18	1.996	6.007	1183.62	8565.59	1121.04	0.915	1.248	2.699	9.584	0.062	0.025
163.05	2.030	5.988	1192.08	8409.88	1196.73	0.935	1.248	3.370	12.84	0.049	0.019
160.39	1.931	6112	1209.72	8646.69	1129.45	0.947	1.236	3.587	13.91	0.047	0.017
169.27	1.883	5.882	1234.86	8708.33	1132.25	0.960	1.287	3.253	12.08	0.051	0.020
152.62	2.003	5.872	1200.78	8413.13	1154.68	0.929	1.276	6.247	23.22	0.026	0.010
162.16	1.946	6.108	1169.34	8575.33	1216.35	0.913	1.266	1.908	6.999	0.088	0.034
163.72	1.898	5.829	1205.64	8435.83	1172.90	0.937	1.276	4.354	15.77	0.038	0.015
154.62	2.013	5.949	1201.44	8510.45	1235.97	0.939	1.301	1.051	3.649	0.159	0.065
164.83	2.063	6.026	1155.66	8500.71	1160.29	0.900	1.219	3.314	12.45	0.050	0.019
152.84	2.015	5.959	1157.22	8675.89	1175.70	0.899	1.251	1.935	7.252	0.086	0.033
150.62	1.917	5.968	1215.78	8458.54	1142.07	0.947	1.261	0.167	0.767	1	0.311
166.60	1.989	6.045	1183.74	8562.35	1182.71	0.927	1.242	4.745	17.35	0.035	0.014
166.16	2.025	6.055	1156.74	8594.79	1153.28	0.898	1.230	0.464	1.897	0.360	0.126
157.50	1.958	5.714	1194.54	8672.65	1199.53	0.937	1.265	1.675	5.936	0.099	0.040
169.49	2.056	5.642	1257.24	8507.20	1226.16	0.987	1.327	1.007	3.836	0.166	0.062