Design of Jetty Piles Using Artificial Neural Networks

Table 9

Comparison of stress ratios obtained by MBPNN and FE analysis.

Pile number	Patterns (75% of original mooring force)
	1		2		3		4		5
	Anlys.	ANN	Anlys.	ANN	Anlys.	ANN	Anlys.	ANN	Anlys.	ANN
1	−0.3800	−0.3803	−0.9350	−0.9333	−0.5710	−0.5697	−0.4290	−0.4297	−0.5720	−0.5710
2	−0.3790	−0.3788	−0.9350	−0.9335	−0.5710	−0.5701	−0.4270	−0.4281	−0.5730	−0.5713
3	−0.3800	−0.3803	−0.9350	−0.9333	−0.5710	−0.5697	−0.4290	−0.4297	−0.5720	−0.5710
4	0.3260	0.3259	−0.9020	−0.9004	0.4330	0.4333	0.4500	0.4486	0.4830	0.4834
5	−0.7610	−0.7633	−0.9020	−0.9012	0^†	−0.0004	−0.8870	−0.8873	0.5120	0.5127
6	0.3260	0.3261	−0.9020	−0.9004	0.4330	0.4333	0.4500	0.4487	0.4830	0.4834
7	−0.4910	−0.4885	−0.8690	−0.8679	−0.7360	−0.7347	−0.5450	−0.5442	−0.6350	−0.6357
8	0.4590	0.4580	−0.8740	−0.8727	0.6530	0.6529	0^†	0.0005	−0.7050	−0.7038
9	−0.4910	−0.4790	−0.8690	−0.8678	−0.7360	−0.7357	−0.5450	−0.5437	−0.6350	−0.6346
10	−0.3140	−0.3154	−0.8190	−0.8147	−0.4170	−0.4168	−0.3320	−0.3308	0.3820	0.3825
11	−0.3160	−0.3171	−0.8190	−0.8146	−0.4190	−0.4187	−0.3320	−0.3313	0.3810	0.3814
12	−0.3140	−0.3154	−0.8190	−0.8147	−0.4170	−0.4168	−0.3320	−0.3308	0.3820	0.3825
RMSE	0.0037		0.0025		0.0007		0.0010		0.0008
Pile number	Patterns (75% of original mooring force)
	6		7		8		9		10
	Anlys.	ANN	Anlys.	ANN	Anlys.	ANN	Anlys.	ANN	Anlys.	ANN
1	−0.5900	−0.5918	−0.6550	−0.6556	−0.5590	−0.5587	−0.5750	−0.5749	−0.6330	−0.6336
2	−0.5900	−0.5912	−0.6240	−0.6563	−0.5600	−0.5593	−0.5740	−0.5747	−0.6340	−0.6341
3	−0.5900	−0.5918	−0.6550	−0.6556	−0.5590	−0.5587	−0.5750	−0.5749	−0.6330	−0.6336
4	0.5610	0.5598	0.5540	0.5540	0.4920	0.4920	0.5680	0.5670	0.5620	0.5615
5	0^†	−0.0001	0.5880	0.5869	0.4920	0.4921	0^†	−0.0001	0.5610	0.5599
6	0.5610	0.5599	0.5540	0.5540	0.4920	0.4920	0.5680	0.5670	0.5620	0.5615
7	−0.6840	−0.6834	−0.7930	−0.7928	−0.6770	−0.6757	−0.7130	−0.7107	−0.7990	−0.7973
8	−0.7430	−0.7420	0^†	−0.0003	−0.6830	−0.6825	−0.7180	−0.7158	0^†	0.0003
9	−0.6840	−0.6833	−0.7930	−0.7917	−0.6770	−0.6750	−0.7130	−0.7106	−0.7990	−0.7981
10	0.4350	0.4353	−0.4410	−0.4396	0.3710	0.3718	0.4200	0.4200	−0.4170	−0.4161
11	0.4350	0.4344	−0.4420	−0.4398	0.3700	0.3705	0.4190	0.4192	−0.4180	−0.4169
12	0.4350	0.4353	−0.4410	−0.4396	0.3710	0.3718	0.4200	0.4200	−0.4170	−0.4161
RMSE	0.0010		0.0094		0.0008		0.0013		0.0009

RMSE: root mean squared error.
^†No pile at this location.