engleski

Application of decision trees to predict damage consequences during the progressive flooding

Support Systems (DSS) rely on flooding sensors, thus cannot be adopted on the large majority of the existing fleet without a costly retrofit of the flooding de-tection system. Here an alternative has been proposed to assess the main flooding consequences from the time evolution of the floating position, which can be recorded with a very basic set of sensors. Here the decision trees are employed to assess the final fate of the ship, the damaged compartments and estimate the time-to-flood. Decision trees are here trained by means of two types of databases of progressive flooding simulations: one based on Monte Carlo (MC) generation of damages according to SOLAS probability distributions and a parametric one. The method has been tested on barge geometry employing another MC database for validation purposes.

progressive flooding simulations ; damage consequences ; onboard decision support systems ; decision trees ; Monte Carlo simulations

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