Using an Artificial Neural Network to Validate and Predict the Physical Properties of Self-Compacting Concrete

Table 8

Intermediate mix proposition of BA + RHA with PPC-test dataset of ANN3.

S. no.	PPC (%)	BA (%)	RHA%	Predicted SC	Predicted IST (min)	Predicted FST (min)	Predicted CS-28 days (N/mm^2)
1	99	0.5	0.5	0.378	108.255	435.945	28.772
2	98	1	1	0.38	99.56	376.038	29.047
3	97	1.5	1.5	0.382	96.221	325.555	29.333
4	95	2.5	2.5	0.385	95.38	283.389	29.63
5	94	3	3	0.391	96.765	219.953	30.253
6	93	3.5	3.5	0.395	97.967	195.672	30.568
7	92	4	4	0.399	99.319	175.069	30.879
8	89	5.5	5.5	0.374	208.69	660.171	27.251
9	87	6.5	6.5	0.374	296.348	818.668	24.222
10	86	7	7	0.376	319.725	881.491	22.966
11	85	7.5	7.5	0.382	336.989	940.54	21.971
12	83	8.5	8.5	0.405	359.496	1036.452	20.965
13	82	9	9	0.415	371.002	1075.988	20.779
14	81	9.5	9.5	0.421	384.772	1110.837	20.673
15	80	10	10	0.424	399.641	1141.431	20.598