A Novel Intelligent Method for Predicting the Penetration Rate of the Tunnel Boring Machine in Rocks

Table 2

Dataset of the TBM penetration rate (PR) collected from the Queens Water Tunnel .

Sample no.	α (°)	UCS (MPa)	BTS (MPa)	SPW (m)	PSI (kN/mm)	PR (m/h)
L1	52	141.4	9.4	1.6	26	1.74
L2	28	153.4	9.1	2	23	1.94
L3	44	147.6	10.8	2	30	2.09
L4	11	131	9.9	0.4	32	1.78
L5	28	140.7	9.1	1.6	38	2.1
L6	33	173.1	9.8	0.8	31	1.84
L7	71	176	10.3	2	30	1.6
L8	81	150.7	10.8	1.6	30	1.98
L9	83	125	8.3	1.6	27	2.21
L10	69	129.2	8.2	0.8	29	1.84
L11	73	134.5	9	0.2	26	2.01
L12	55	192.7	11.4	0.4	42	2.18
L13	66	182.4	10.2	0.8	39	2
L14	74	159	8.7	0.2	36	2.28
L15	51	156.9	10.7	0.8	30	2.16
T1	40	189	9	2	56	2.2
T2	34	191	10.4	0.4	54	2.95
T3	70	137.2	8.8	1.6	42	2.2
T4	32	136.2	9.2	0.4	40	2.03
T5	10	128.6	9.9	1.6	32	1.75
T6	11	131	9.9	0.4	32	1.78
T7	50	138.6	10	0.2	30	2.39
T8	18	133.4	10.5	1.6	30	1.6
T9	52	154.5	10.1	2	33	1.58
T10	33	173.1	9.8	0.8	31	1.84