Research Article

Numerical Study of Rectangular Tank with Sloshing Fluid and Simulation of the Model Using a Machine Learning Method

Table 2

The results are based on the parameters of fluid position in the tank, tank displacement, fluid mass, and displacement amplitude value.


1-0.65-20.50.01-14.7605
2-0.65-20.50.26526.85581
3-0.65-20.50.5241.87461
4-0.65-210.01-15.9446
5-0.65-210.26521.62331
6-0.65-210.52-35.3931
7-0.65-21.50.01-17.0971
8-0.65-21.50.265-26.9193
9-0.65-21.50.52-42.1581
10-0.6500.50.01-13
11-0.6500.50.26523.12539
12-0.6500.50.5238.14419
13-0.65010.01-13
14-0.65010.26524.1526
15-0.65010.5237.1154
16-0.6501.50.01-13
17-0.6501.50.26520.11228
18-0.6501.50.5232.2393
19-0.6520.50.0111.87263
20-0.6520.50.26519.39498
21-0.6520.50.5234.41378
22-0.65210.0113.7191
23-0.65210.26526.68189
24-0.65210.5239.64469
25-0.6521.50.0115.53242
26-0.6521.50.26527.65944
27-0.6521.50.5239.78645
280-20.50.01-5.83135
290-20.50.26519.33819
300-20.50.5234.35699
310-210.01-8.41395
320-210.265-23.5699
330-210.52-38.7781
340-21.50.01-10.998
350-21.50.265-26.2368
360-21.50.52-41.4756
37000.50.01-0.5928
38000.50.265-15.7092
39000.50.52-30.8256
400010.01-0.5964
410010.265-15.8046
420010.52-31.0128
43001.50.01-0.5976
44001.50.265-15.8364
45001.50.52-31.0752
46020.50.015.831351
47020.50.265-13.4965
48020.50.52-28.6129
490210.018.413948
500210.26516.00043
510210.5228.96322
52021.50.0110.40714
53021.50.26520.14974
54021.50.5232.27676
550.65-20.50.01-12.4766
560.65-20.50.265-27.593
570.65-20.50.52-42.7094
580.65-210.01-13.8647
590.65-210.265-26.9549
600.65-210.52-42.1631
610.65-21.50.01-15.1063
620.65-21.50.265-25.5543
630.65-21.50.52-40.7931
640.6500.50.0113
650.6500.50.265-25.3802
660.6500.50.52-40.4966
670.65010.0113
680.65010.265-19.1896
690.65010.52-34.3978
700.6501.50.0113
710.6501.50.265-15.1539
720.6501.50.52-30.3927
730.6520.50.0114.76049
740.6520.50.265-23.1675
750.6520.50.52-38.2839
760.65210.0115.94465
770.65210.26515.94465
780.65210.52-26.6325
790.6521.50.0117.09708
800.6521.50.26517.09708
810.6521.50.5224.76706