Advances in Materials Science and Engineering

Research Article

Prediction of Compressive Strength of Concrete in Wet-Dry Environment by BP Artificial Neural Networks

Table 8

Assemble list of influencing factors and results.


Number	A	B	C	D	E	F	G	H	I	J	K	L	M	N	O	Results

1	0.53	60	36.51	0	0	0.2816	0	0	0.1408	16	20	8	50	1	5	36.93
2	0.35	60	55.14	0	0	0.2816	0	0	0.1408	16	20	8	50	1	5	55.53
3	0.26	60	88.25	0	0	0.2816	0	0	0.1408	16	20	8	50	1	5	88.43
4	0.53	60	37.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	5	37.72
5	0.35	60	54.35	0	0	1.408	0	0	0.7042	16	20	8	50	1	5	54.76
6	0.26	60	86.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	5	86.45
7	0.53	60	35.36	0	0	2.296	0	0	1.148	16	20	8	50	1	5	36.04
8	0.35	60	56.13	0	0	2.296	0	0	1.148	16	20	8	50	1	5	56.54
9	0.26	60	87.45	0	0	2.296	0	0	1.148	16	20	8	50	1	5	87.86
10	0.53	60	36.51	0	0	0.2816	0	0	0.1408	16	20	8	50	1	10	37.26
11	0.35	60	55.14	0	0	0.2816	0	0	0.1408	16	20	8	50	1	10	55.89
12	0.26	60	88.25	0	0	0.2816	0	0	0.1408	16	20	8	50	1	10	88.79
13	0.53	60	37.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	10	38.29
14	0.35	60	54.35	0	0	1.408	0	0	0.7042	16	20	8	50	1	10	55.18
15	0.26	60	86.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	10	86.77
16	0.53	60	35.36	0	0	2.296	0	0	1.148	16	20	8	50	1	10	36.72
17	0.35	60	56.13	0	0	2.296	0	0	1.148	16	20	8	50	1	10	57.02
18	0.26	60	87.45	0	0	2.296	0	0	1.148	16	20	8	50	1	10	88.28
19	0.53	60	36.51	0	0	0.2816	0	0	0.1408	16	20	8	50	1	15	37.88
20	0.35	60	55.14	0	0	0.2816	0	0	0.1408	16	20	8	50	1	15	56.12
21	0.26	60	88.25	0	0	0.2816	0	0	0.1408	16	20	8	50	1	15	89.01
22	0.53	60	37.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	15	38.85
23	0.35	60	54.35	0	0	1.408	0	0	0.7042	16	20	8	50	1	15	55.54
24	0.26	60	86.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	15	87.02
25	0.53	60	35.36	0	0	2.296	0	0	1.148	16	20	8	50	1	15	37.39
26	0.35	60	56.13	0	0	2.296	0	0	1.148	16	20	8	50	1	15	57.53
27	0.26	60	87.45	0	0	2.296	0	0	1.148	16	20	8	50	1	15	88.69
28	0.53	60	36.51	0	0	0.2816	0	0	0.1408	16	20	8	50	1	20	38.31
29	0.35	60	55.14	0	0	0.2816	0	0	0.1408	16	20	8	50	1	20	56.53
30	0.26	60	88.25	0	0	0.2816	0	0	0.1408	16	20	8	50	1	20	89.27
31	0.53	60	37.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	20	39.36
32	0.35	60	54.35	0	0	1.408	0	0	0.7042	16	20	8	50	1	20	55.92
33	0.26	60	86.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	20	87.31
34	0.53	60	35.36	0	0	2.296	0	0	1.148	16	20	8	50	1	20	36.58
35	0.35	60	56.13	0	0	2.296	0	0	1.148	16	20	8	50	1	20	58.02
36	0.26	60	87.45	0	0	2.296	0	0	1.148	16	20	8	50	1	20	89.11
37	0.53	60	36.51	0	0	0.2816	0	0	0.1408	16	20	8	50	1	25	38.66
38	0.35	60	55.14	0	0	0.2816	0	0	0.1408	16	20	8	50	1	25	56.86
39	0.26	60	88.25	0	0	0.2816	0	0	0.1408	16	20	8	50	1	25	89.53
40	0.53	60	37.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	25	38.53
41	0.35	60	54.35	0	0	1.408	0	0	0.7042	16	20	8	50	1	25	56.27
42	0.26	60	86.14	0	0	1.408	0	0	0.7042	16	20	8	50	1	25	87.58
43	0.53	60	35.36	0	0	2.296	0	0	1.148	16	20	8	50	1	25	35.82
44	0.35	60	56.13	0	0	2.296	0	0	1.148	16	20	8	50	1	25	58.51
45	0.26	60	87.45	0	0	2.296	0	0	1.148	16	20	8	50	1	25	89.51

A: ; B: specific surface area (m⁻¹); C: initial strength (MPa); D: FA dosage; E: slag dosage; F: Na⁺ (mol/L); G: Mg²⁺ (mol/L); H: Cl⁻ (mol/L); I: SO₄²⁺ (mol/L); J: wetting time (hours); K: wetting temperature (°C); L: drying time (hours); M: drying temperature (°C); N: cycle period (days); O: exposure age (days).