Prediction of Concrete Compressive Strength and Slump by Machine Learning Methods

Table 2

Basic statistic of used datasets.

Data	Attribute	Abbreviation	Unit	Min	Max	μ	σ
D112	Water/cement	W/C	%	54.95	59.88	57.38	2.07	4.29
	Cement content	C	Kg	330.00	345.00	337.72	6.31	39.76
	Compressive strength of cement	fcc	MPa	34.40	55.10	44.75	9.09	82.69
	Fine aggregate	FA	%	65.00	68.00	66.47	1.27	1.62
	Fineness module	kk	—	5.60	5.80	5.70	0.07	0.01
	Chemical admixture	CA	%	1.20	1.40	1.30	0.08	0.01
	Concrete compressive strength	fc	MPa	19.86	44.19	33.30	6.91	47.81
	Slump value	S	cm	1.20	23.20	12.35	7.06	49.85
	Type of aggregate	TA	—	0: limestone, 1: basalt
D224	Water/cement	W/C	%	50.00	54.95	52.60	2.11	4.46
	Cement content	C	kg	330.00	345.0	337.63	6.49	42.14
	Compressive strength of cement	fcc	MPa	34.40	55.10	45.12	9.25	85.56
	Fine aggregate	FA	%	48.00	54.00	51.00	2.36	5.56
	Fineness module	kk	—	6.60	6.80	6.70	0.09	0.01
	Chemical admixture	CA	%	1.20	1.40	1.230	0.09	0.01
	Concrete compressive strength	fc	MPa	26.59	53.87	40.38	8.12	65.92
	Slump value	S	cm	2.60	21.70	13.33	6.56	43.00
	Type of aggregate	TA	—	0: limestone, 1: basalt

μ: mean, σ: standard deviation, and σ²: variance.