Application of Residual Shear Strength Predicted by Artificial Neural Network Model for Evaluating Liquefaction-Induced Lateral Spreading

Table 4

Summarization of calculated lateral spreading.

Case no.	Motion name	Normal displacement (m)	Inverse displacement (m)	Observed (m)
1	PAS-000	1.48	1.41	1.50
	PAS-090	2.12	1.98
	PDL-120	2.63	2.47
	PDL-210	0.86	0.85
2	AGR-003	1.97	1.61	2.10
	BCR-140	1.79	1.91
	BCR-230	1.82	1.62
	SHP-270	1.36	1.39
3	BOR000	1.70	1.88	0.75
	BOR090	1.29	1.12
4	WSM-090	1.67	1.99	0.18
	WSM-180	1.41	1.73
5	GOF-160	0.03	0.02	0.28
	GOF-250	0.01	0.01
	HCH-090	0.06	0.01
	HCH-180	0.23	0.11
	HDA-165	0.02	0.04
	HDA-225	0.06	0.04
6	GOF-160	0.04	0.03	0.25
	GOF-250	0.02	0.02
	HCH-090	0.07	0.01
	HCH-180	0.29	0.14
	HDA-165	0.03	0.05
	HDA-225	0.07	0.05
7	AND-250	0.07	0.03	0.45
	AND-340	0.07	0.04
	G02-000	0.03	0.06
	G02-090	0.08	0.09
	HCH-090	0.12	0.06
	HCH-180	0.45	0.24
8	AND-250	0.01	0.01	0.45
	AND-340	0.01	0.01
	G02-000	0.00	0.01
	G02-090	0.01	0.01
	HCH-090	0.04	0.00
	HCH-180	0.08	0.05
9	G02-000	0.00	0.00	0.25
	G02-090	0.00	0.00
	HCH-090	0.00	0.00
	HCH-180	0.00	0.00
10	TRI-000	0.06	0.14	0.25
	TRI-090	0.11	0.20
11	MANJIL-188040	0.41	0.39	1.00
	MANJIL-188310	1.11	0.86
12	PAR-L	0.55	0.70	0.50
	PAR-T	1.13	1.05
	SYL-090	0.64	0.22
	SYL-360	0.52	0.31
13	CNP-106	0.13	0.09	0.15
	CNP-196	0.12	0.19
	SCE-288	0.11	0.17
	STC-090	0.08	0.09
	STC-180	0.29	0.28
14	TCU065-000	3.08	2.95	2.05
	TCU065-090	2.12	1.59
15	TCU065-000	0.14	0.16	0.49
	TCU065-090	0.08	0.00
16	TCU065-000	1.96	1.75	1.20
	TCU065-090	1.14	0.79
17	TCU065-000	5.14	4.89	2.96
	TCU065-090	3.89	3.59
18	TCU065-000	1.27	1.05	1.62
	TCU065-090	0.65	0.39
19	TCU076-000	0.27	0.14	0.25
	TCU076-090	0.34	0.33
20	YPT-060	2.19	1.60	2.00
	YPT-330	0.87	0.94
21	YPT-060	6.26	5.98	2.40
	YPT-330	3.02	2.49
22	YPT-060	0.30	0.19	1.20
	YPT-330	0.13	0.16
23	YPT-060	0.48	0.28	0.30
	YPT-330	0.21	0.23