Gaidai multivariate risk assessment method for cargo ship dynamics

Figures & data

Figure 1. Example of cargo-loaded TEU cargo ship.

Figure 2. Sensor, being glued to the deck panel’s stiffener web (Storhaug & Moe, 2007).

Table 1. 4400 TEU vessel main particulars.

Length overall, LOA [m]	294.0
Length between perpendiculars, LPP [m]	281.0
Breadth, B [m]	32.3
Depth, D [m]	21.5
Draft’s design, T [m]	10.8
Draft’s scantlings, T [m]	10.8
Deadweight at design, dwt [Megatonne]	0.5
Service speed at design draft [knot]	23.0
Block coefficient, CB [-]	0.7
Power [MW]	37.3

Figure 3. MC Timeseries, generated utilizing Gumbel-Haugaard dependence copula.

Figure 4. Left: 4-parameter 2D Weibull’s contour. Right: matching Gaidai multivariate risk assessment method’s forecast, based on system’s synthetic $\vec{R}$ vector.

Figure 5. Locations of 4 amidship deck panel strain’s sensors, see Figure 2.

Figure 6. Synthetic vector $\vec{R}$, derived from non-dimensionalized DLP ($\mathit{X}$) and AFV ($\mathit{Y}$) vessel dynamic components.

Figure 7. a) 4-parameter 2D Weibull’s method contours for non-dimensionalized DLP and AFV; b) corresponding Gaidai multivariate risk assessment forecast, dashed lines indicate 95% CI (confidence intervals).

Figure 8. Second (left) and 6^th order poincare difference plots.

Storhaug, G., Moe, E. (2007). Measurements of wave induced vibrations on-board a large container vessel operating in harsh environment. Proceedings of the 10th international symposium on practical design of ships and other floating structures, Houston, US (pp. 64–72).

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Data availability statement

Data will be available on request from the corresponding author.