Plough-in at high speed is one of the three unique potential hazards for the air cushion vehicle (ACV). The anti tuck-under ability of ACV bow flexible skirt is the key technical measure to avoid the serious consequences caused by the occurrence of plough-in. The three-dimensional (3D) model of the bow flexible skirt is established to calculate its anti tuck-under capability based on the secondary development of CATIA. This model can easily take into account the influence of the skirt cylindrical fore-face, the two side-ear flaps and the transiting arc from the fore-face to the side-ear flap, with the more accurate description of the actual structure of the skirt. The capability of the anti tuck-under of the bow skirt can then be evaluated more precisely to promote the design of the skirt and to guarantee the navigation safety.

The air cushion vehicle (ACV) has rigorous requirement on the weight, resulting in the weak structure of the floating tank. The amphibious landing characteristic of the ACV enlarges the possibility of the damage of the buoyancy box, which causes the denser water-tight subdivision. The visualization of the damage stability calculation results of the dense watertight subdivision can be achieved by the secondary development of CATIA. On this basis, the pilot can quickly assess the damage effect on the flooding and ship attitude according to the size and location of the break on the floating box. The three-dimensional visualization of the wave pattern of the cushion induced wave by using CATIA can directly observe the correlation between the wave surface and the air cushion contour, which can benefit the solution and understanding of the influence of the wave on resistance and attitude in the oblique sailing with drift angle. When sailing on waves, the air cushion pressure will be varied with the wave fluctuations, transferring the external loads to the hull and the flexible skirt. The visualization of the dynamic test results of the air cushion pressure is convenient for the contrastive analysis of the spatial distribution of the pressure fluctuations.