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Research Article

Gaidai multivariate risk assessment method for cargo ship dynamics

, , , , &
Article: 2327362 | Received 21 Feb 2024, Accepted 04 Mar 2024, Published online: 11 Mar 2024

Figures & data

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

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

Figure 2. Sensor, being glued to the deck panel’s stiffener web (Storhaug & Moe, Citation2007).

Figure 2. Sensor, being glued to the deck panel’s stiffener web (Storhaug & Moe, Citation2007).

Table 1. 4400 TEU vessel main particulars.

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

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 R vector.

Figure 4. Left: 4-parameter 2D Weibull’s contour. Right: matching Gaidai multivariate risk assessment method’s forecast, based on system’s synthetic R⃗ vector.

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

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

Figure 6. Synthetic vector R, derived from non-dimensionalized DLP (X) and AFV (Y) vessel dynamic components.

Figure 6. Synthetic vector R⃗, derived from non-dimensionalized DLP (X) and AFV (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 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 6th order poincare difference plots.

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

Data availability statement

Data will be available on request from the corresponding author.