Uncertainty-Based Performance Prediction and Optimization of High-Fluidization Cement Grouting Material Using Machine Learning and Bayesian Inference

International Journal of Concrete Structures and Materials

Table 7 Result based on the test scheme (Ren et al., 2021a, 2021b)

No.	Fluidity (s)	Flexural strength (MPa)			Compressive strength (MPa)			Shrinkage rate (%)
No.	Fluidity (s)	1 day	3 days	7 days	1 day	3 days	7 days	7 days	28 days
1	14.1	2.5	9.1	13.0	10.3	29.0	40.0	0.047	0.138
2	14.7	2.6	9.4	11.6	10.9	29.3	38.6	0.038	0.133
3	17.5	2.8	9.7	12.6	12.7	30.1	39.0	0.030	0.127
4	20.0	2.9	10.0	13.7	12.6	30.4	43.9	0.024	0.121
5	12.8	2.7	8.6	10.7	11.1	27.6	34.9	0.035	0.117
6	13.1	2.6	7.8	10.7	9.6	26.2	35.7	0.027	0.111
7	14.7	3.1	8.9	11.6	12.1	28.6	36.0	0.041	0.139
8	14.3	2.8	8.2	11.3	10.1	27.3	37.0	0.030	0.126
9	9.2	3.1	8.1	10.9	11.0	26.2	34.9	0.021	0.101
10	10.8	3.4	8.2	10.0	10.5	26.7	34.4	0.017	0.107
11	11.1	2.8	7.2	9.1	9.3	25.7	31.4	0.022	0.112
12	11.8	2.9	7.3	10.0	9.4	26.0	35.4	0.031	0.119
13	8.8	2.7	6.2	8.2	9.0	21.8	28.8	0.027	0.109
14	10.0	2.3	5.5	7.1	7.3	21.8	28.7	0.026	0.106
15	9.9	2.2	5.3	6.9	6.1	20.7	26.5	0.010	0.096
16	10.5	2.0	5.0	6.5	5.7	20.7	27.4	0.008	0.096