Sustainability-driven model for predicting compressive strength in concrete structures

Figures & data

Table 1. Concrete mixtures composition.

MIX #	w/c	Silica Fume (%)	Water (kg/m^3)	Cement (kg/m^3)	CA (kg/m^3)	FA (kg/m^3)	HRWR (ml/100 kg Cementing)	AEA (ml/100 kg Cementing)
1	0.30	0	150	500	960	852	606	0
2	0.30	15	150	425	960	827	1465	0
3	0.40	0	150	375	960	960	370	0
4	0.40	15	150	319	960	940	606	0
5	0.40	0	150	375	960	852	215	80
6	0.40	15	150	319	960	832	404	80
7	0.40	0	184	460	960	687	0	80
8	0.40	15	184	391	960	663	0	80
9	0.40	0	205	513	960	693	0	0
10	0.40	15	205	436	960	667	0	0

Table 2. Experimental vs. predicted concrete compressive strength at 28 d.

MIX #	Slump (mm)	Air (%)	α(t)-αcr	(w + Va)/c	ϕ/ϕmax	WSF/WC	f’cexp. (MPa)	f’cmodel (MPa)	Model error (ratio)	Model error (%)
1	80	2.2	0.460	0.344	0.889	0	97.0	92.5	1.05	4.6
2	90	2.1	0.460	0.323	0.876	0.15	97.9	100.4	0.98	2.6
3	75	1.5	0.482	0.440	0.943	0	72.1	76.4	0.94	6.0
4	95	1.4	0.482	0.413	0.934	0.15	88.3	85.9	1.03	2.7
5	90	6.4	0.482	0.571	0.888	0	45.6	44.4	1.03	2.6
6	90	8.0	0.482	0.579	0.879	0.15	45.4	45.7	0.99	0.7
7	65	3.5	0.482	0.476	0.807	0	55.8	52.9	1.05	5.2
8	25	3.8	0.482	0.455	0.796	0.15	62.3	58.8	1.06	5.6
9	90	2.2	0.482	0.443	0.810	0	55.8	59.6	0.94	6.8
10	40	2.6	0.482	0.425	0.798	0.15	62.0	65.1	0.95	5.0

Figure 1. Experimental vs. predicted compressive strength at 28 d.

Figure 2. Model assessment-residual plot.

Figure 3. Experimental and model f‘c values vs. data label.

Table 3. Statistical analysis of model vs. experiment using linear regression.

	Coefficients	Lower 95% confidence	Upper 95% confidence
Intercept	0.473	−9.16	10.1
Slope	0.99	0.86	1.13

Figure 4. Model validation using experimental data reported in literature.

Data availability statement

I agree to share the data upon reasonable request. For any inquiries regarding the data used in this study, please contact the first author ‘Fayez Moutassem’.