The Prediction of Steel Bar Corrosion Based on BP Neural Networks or Multivariable Gray Models

Table 1

Results of indoor accelerated corrosion test of reinforced concrete.

Data group	ξ (mm/a)	t (min)	D (mm)	c (mm)	ω (mm)	i (mm)	d (mm)
1	0.012	2185	90.4	24.9	0.08	0.078	12.06
2	0.014	2985	90.4	24.9	0.13	0.078	12.12
3	0.027	4185	90.4	24.9	0.15	0.078	12.31
4	0.028	4985	90.4	24.9	0.21	0.078	12.33
5	0.032	5885	90.4	24.9	0.45	0.078	12.36
6	0.041	6655	90.4	24.9	0.62	0.078	12.39
7	0.011	6655	88	44	0.06	0.018	12.1
8	0.042	7815	90.4	24.9	0.71	0.078	12.4
9	0.015	7815	88	44	0.07	0.018	12.15
10	0.026	9134	88	44	0.08	0.018	12.3
11	0.052	9185	90.4	24.9	0.83	0.078	12.43
12	0.041	11254	88	44	0.14	0.018	12.39
13	0.101	11295	90.4	24.9	0.93	0.078	12.5
14	0.118	21735	90.4	24.9	0.98	0.078	12.63
15	0.13	21735	88	44	1.42	0.018	12.76
16	0.133	32300	88	44	1.61	0.018	12.87
17	0.122	32925	90.4	24.9	1.01	0.078	12.65
18	0.141	38131	88	44	1.62	0.018	13.01
19	0.128	38135	90.4	24.9	1.13	0.078	12.68
20	0.142	61385	90.4	24.9	1.62	0.078	13.08
21	0.148	61385	88	44	2.91	0.018	13.25
22	0.163	87645	90.4	24.9	3.69	0.078	13.65
23	0.173	87645	88	44	3.24	0.018	13.71