In the framework of Industry 4.0, simulation plays a key role in processing sensors data to predict the future behaviour of a complex system. Aiming to increase ship efficiency and safety, simulations can be used in normal conditions but also during an emergency. In this context, progressive flooding simulations can be applied onboard large passenger ships to support master decisions after a collision or grounding casualty. Among the methods present in literature, the techniques based on linearized differential equations have been recently proposed and tested in model-scale. Here, the effects of three different linearized techniques are studied on a large passenger ship. The main issues connected to different mathematical formulations are highlighted, to enhance the reliability of the onboard progressive flooding simulation and better exploit data collected by sensors to increase ship safety in the framework of Shipping 4.0.

A Comparison of Different Linearized Formulations for Progressive Flooding Simulations in Full-Scale

Braidotti, Luca
;
Degan, Germano;Bertagna, Serena;Bucci, Vittorio;Marinò, Alberto
2021-01-01

Abstract

In the framework of Industry 4.0, simulation plays a key role in processing sensors data to predict the future behaviour of a complex system. Aiming to increase ship efficiency and safety, simulations can be used in normal conditions but also during an emergency. In this context, progressive flooding simulations can be applied onboard large passenger ships to support master decisions after a collision or grounding casualty. Among the methods present in literature, the techniques based on linearized differential equations have been recently proposed and tested in model-scale. Here, the effects of three different linearized techniques are studied on a large passenger ship. The main issues connected to different mathematical formulations are highlighted, to enhance the reliability of the onboard progressive flooding simulation and better exploit data collected by sensors to increase ship safety in the framework of Shipping 4.0.
2021
https://www.sciencedirect.com/science/article/pii/S187705092100199X
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11368/2980744
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