A pressure inlet was set on the top of tank cross 
section. The circular cross section model was 
meshed with elements of quadrangle, and pave was 
selected as the meshing type. 
2.2 Sloshing condition 
Liquid fill percentage was used to describe the 
volume or the mass of liquid bulk in the tank. It was 
defined as the ratio of the height of liquid free 
surface to the diameter of the tank. Lateral liquid 
sloshing under the condition of different liquid fill 
levels was considered, and the liquid fill level was 
set to be 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 
respectively. 
In practical situation, lateral acceleration of tank 
vehicles is hardly to exceed 1.0 g. therefore, lateral 
acceleration acts on tank was set to be 0.1 g, 0.2 g, 
0.3 g, 0.4 g, 0.5 g, 0.6 g, 0.7 g, 0.8 g, 0.9 g and 1.0 g, 
respectively. 
The purpose of this study was to investigate 
inherent dynamics of liquid sloshing and to establish 
equivalent mechanical model. There hence, free 
oscillation of liquid bulk should be simulated to 
acquire sloshing parameters. To simulate free 
oscillation of liquid bulk, liquid bulk’s CM should 
be away from equilibrium position. Two different 
methods to obtain the initial condition of free 
oscillation were proposed. For the first one, forced 
oscillation under the action of lateral acceleration 
was carried out first. While the center of mass of 
liquid bulk arrives at the highest point, the 
simulation of forced oscillation was stopped. Then, 
the ended moment in this forced oscillation case was 
taken as the initial condition of free liquid sloshing. 
For the second one, liquid free surface was set to be 
tilted at the very beginning of free oscillation 
simulation. Gradient of tilted liquid free surface was 
obtained by 
 
               
()
0
=atan
y
ag
θ
                           (1) 
where a
y
 is lateral acceleration acting on tanks. 
While the second method to simulate liquid free 
oscillation was much easier than the first one, it was 
used to simulate liquid sloshing in this study. 
2.3 Simulation settings 
A 2D planer, transient simulation was used to 
simulate liquid sloshing in flat cylinder tank. 
Pressure-based was selected as the solver. Air and 
water were multiphase flows in tank model, and air 
was set to be the primary phase. The volume of 
water, and intersection line between air and water 
were defined by user defined function. Laminar was 
used as the viscous model. Pressure inlet was set on 
the top of circular cross section, and the pressure 
inlet was also set to be reference pressure location. 
Gravity was acted on the liquid bulk, who directs to 
the negative y-axis. The scheme of PISO was used 
as pressure-velocity coupling method. For other 
parameters, they were accepted as software default 
setting. 
Sloshing force and moment were monitored 
during simulation. Liquid bulk’s CM was calculated 
and recorded by user defined function. 
3 DATA FILTERING BY 
WAVELET 
Liquid bulk’s CM was used to investigate sloshing 
dynamics in this study. Before dynamic analysis, 
data filtering was carried out. Many filtering 
methods were tried, it turned out that wavelet 
filtering has the best performance. Therefore, liquid 
bulk’s CM, including x-coordinate and y-coordinate, 
was filtered by wavelet. Sym8 was chosen as the 
wavelet function, and 8 layer decomposition was 
done. Comparison of liquid bulk’s CM before and 
after wavelet filtering was presented in Figure 1. 
Also, oscillation angle of liquid bulk’s CM, which 
was a function of x-coordinate and y-coordinate, was 
also presented to illustrate data filtering result. 
In Figure 1, oscillation angle was obtained by 
 
            
()
=atan
y
θ
−
            (2)   
where x is the x-coordinate of liquid bulk’s CM, y is 
the y-coordinate of liquid bulk’s CM. 
Noise in raw data was with small amplitude and 
did have regular frequencies. Reason that bring 
irregular noise should be calculation accuracy error. 
For this situation, wavelet filtering was a pleasure 
select.  
Compared with x-coordinate,  y-coordinate has 
noise with rather large amplitude. That is to say that 
y-coordinate of liquid bulk’s CM has much violent 
changes in sloshing, and the change trend along y-
axis has much lower possibility than that along x-
axis. 
Oscillation angle obtained by filtered liquid 
bulk’s CM is much smoother that that obtained by 
raw data, which reveals the correctness of data 
filtering.