Prediction of the Mechanical Properties of Fibre-Reinforced Quarry Dust Concrete Using Response Surface and Artificial Neural Network Techniques

Table 5

Predicted strength values of concrete using RSM &ANN.

Sample no	Jute fibres (%)	Coconut fibres (%)	Quarry dust (%)	Compressive strength (N/mm^2)			Split tensile strength (N/mm^2)
				Exp	RSM	ANN	Exp	RSM	ANN
JCQD01	0	1.25	0	28.25	28.27	28.43	2.8	2.54	2.62
JCQD02	1.25	1.25	12.5	22.7	19.82	20.23	3.7	3.80	2.04
JCQD03	1.25	2.5	0	19.7	18.24	19.12	1.9	2.18	1.98
JCQD04	1.25	1.25	12.5	22.5	19.82	20.22	3.8	3.80	2.03
JCQD05	2.5	2.5	12.5	12.17	7.04	8.13	1.3	0.89	0.88
JCQD06	2.5	1.25	25	11.02	5.70	6.78	1.2	1.46	0.72
JCQD07	0	0	12.5	34.6	34.43	33.44	1.3	1.72	3.42
JCQD08	0	2.5	12.5	25.06	21.23	20.23	2.5	2.49	2.08
JCQD09	1.25	0	0	29.39	29.54	29.45	2.9	2.76	2.88
JCQD10	1.25	1.25	12.5	22.5	19.82	18.98	3.8	3.80	1.88
JCQD11	0	1.25	25	31.9	25.31	26.71	2.1	1.97	2.70
JCQD12	1.25	0	25	21.6	23.05	24.12	2.2	1.93	2.34
JCQD13	1.25	2.5	25	17.2	6.47	8.12	1.7	1.86	0.80
JCQD14	2.5	1.25	0	19.7	20.99	19.19	1.9	2.04	1.91
JCQD15	2.5	0	12.5	23.2	21.73	20.78	2.3	2.31	2.07