Relationship between amount of GGBFS to the strength of concrete. Reference paper will be given, upon request. Contact me at zelkhan2u@gmail.com Thank you! If you find these presentation to be beneficial, I would like to welcome you to donate, and support my work in Cement & Concrete Industry. Donation can be made using the following currency/medium: Bitcoin Address: 36rb4YnbDZsXcCu7i1aXRVvy31j3GoM9YY EgoPay: elkhana2u@gmail.com Perfect Money: U6071834 (USD) Thanks.

1. Relationship between the amount of
GGBS and the strength
Hume Concrete Sdn. Bhd.

2. 3 Days ( Best Trend Line Selection)
y = 0.379x2 - 5.8282x + 36.332
R² = 0.94080.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
0 20 30 50 70
Strength(MPa)
GGBS value (%)
Percentage of GGBS (%)
vs strength (MPa)
Poly. (Percentage of
GGBS (%) vs strength
(MPa))
Figure 1

3. Analysis (3 Days)
Trend Type R square value
Exponential 0.9168
Linear 0.9260
Logarithmic 0.9225
Polynomial 0.9408
Power 0.8800
For 3 days analysis, graph was plotted as shown in Figure 1. Then, best line fit
was determined, together with equation of graph and R square value. There are
5 types of best fit line and their corresponding equation and R square value, as
shown in Table 1.
Table 1: Value of R square for 3 days
Based on R square value, polynomial trend type is the best fit line, with a value of
0.9408 and corresponding equation as shown in Figure 1

4. 7 Days (Best Trend Line Selection)
y = 0.7996x2 - 6.2512x + 44.018
R² = 0.60060.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
45.0
0 20 30 50 70
Strength(MPa)
GGBS Value (%)
Percentage of GGBS (%)
vs strength (MPa)
Poly. (Percentage of
GGBS (%) vs strength
(MPa))
Figure 2

5. Analysis (7 Days)
Trend Type R square value
Exponential 0.3905
Linear 0.4218
Logarithmic 0.4992
Polynomial 0.6006
Power 0.4596
For 3 days analysis, graph was plotted as shown in Figure 2. Then, best line fit
was determined, together with equation of graph and R square value. There are
5 types of best fit line and their corresponding equation and R square value, as
shown in Table 2
Table 2: Value of R square for 7 days
Based on R square value, polynomial trend type is the best fit line, with a value of
0.6006 and corresponding equation as shown in Figure 2

6. 28 Days (Best Trend Line Selection)
y = 0.5095x2 - 1.8705x + 46.592
R² = 0.7816
41.0
42.0
43.0
44.0
45.0
46.0
47.0
48.0
49.0
50.0
51.0
52.0
0 20 30 50 70
Strength(MPa)
GGBS Value (%)
Percentage of GGBS (%) vs
strength (MPa)
Poly. (Percentage of GGBS
(%) vs strength (MPa))
Figure 3

7. Analysis (28 Days)
Trend Type R square value
Exponential 0.6262
Linear 0.6213
Logarithmic 0.4826
Polynomial 0.7816
Power 0.4901
For 3 days analysis, graph was plotted as shown in Figure 3. Then, best line fit
was determined, together with equation of graph and R square value. There are
5 types of best fit line and their corresponding equation and R square value, as
shown in Table 3
Table 3: Value of R square for 28 days
Based on R square value, polynomial trend type is the best fit line, with a value of
0.7816 and corresponding equation as shown in Figure 3