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4. SafePASS Project's Whitepaper : A Risk Modelling Tool for Passenger Ship Evacuation and Emergency Response Decision Support

Author

Stefanou,Evangelos, Stefanidis,Fotios, Boulougouris,Evangelos, Louvros,Panagiotis, Komianos,Alexandros, Michalec,Romain, Aung,Myo, Sotiralis,Panagiotis, and Annetis,Emmanouil

Subjects
maritime safety, passenger vessels, Bayesian networks, evacuation, risk model, risk analysis, event trees
Abstract

One of the biggest challenges in the field of maritime safety is the integration of all the systems related to the evacuation and emergency response under one Decision Support Tool that could broadly cover all the emergency cases and assist in the co-ordination of the evacuation process. Besides, for a decision support tool to be useful we need to be able to calculate the Available time to Evacuate based on real-time data, such as the passenger distribution on board and of course based on the various sensor data that will monitor the damage and its propagation. For all the above, the risk modelling tool developed in SafePASS H2020 project is able to estimate the potential fatalities both in the design phase and in real-time, assessing the evacuation and abandonment risk dynamically, based on real-time data related to the passenger distribution, route, semantics, LSA availability, procedural changes, and damage case (fire or flooding) propagation., This report constitutes a whitepaper written on behalf of the SafePASS project, describing the Risk modelling tool developed.

Published
2023
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6. Multi-objective optimisation as an early design tool for smart ship internal arrangement.

Author

Louvros, Panagiotis, Boulougouris, Evangelos, Coraddu, Andrea, Vassalos, Dracos, and Theotokatos, Gerasimos

Subjects
NAVAL architecture, SHIPS, GENETIC algorithms
Abstract

Modern optimisation methodologies have revolutionised the engineering sector and pave the way for innovation. In ship design, this has been spearheaded by the introduction of the Holistic Design approach that allows more attributes and performances of the end product to be assessed accurately and concurrently even at the early design phase. In this respect, the authors present herein a methodology based on the optimisation of the functionalities that the general arrangement needs to provide (in this case; adjacency, noise and evacuation flow). The methodology allows for a large optimisation space, several objectives and intrinsic control by the user at all the stages. By re-arranging the location of the spaces onboard, in relation to their position on the hull as well as between themselves, significant improvements can be achieved. More functional objectives can be incorporated through modularity and penalty functions, keeping the overall process simple and flexible to adapt to fluid early design requirements. [ABSTRACT FROM AUTHOR]

Published
2022
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