Risk-based positioning of flooding sensors to reduce prediction uncertainty of damage survivability

Tools

Bertheussen Karolius, Kristian and Cichowicz, Jakub and Vassalos, Dracos; (2018) Risk-based positioning of flooding sensors to reduce prediction uncertainty of damage survivability. In: 13th International Conference on the Stability of Ships and Ocean Vehicles. STAB2018 Secretariat, Japan, pp. 627-637.

[thumbnail of Karolius-etal-STAB-2018-Risk-based-positioning-of-flooding-sensors-to-reduce-prediction]
Preview
 Text. Filename: Karolius_etal_STAB_2018_Risk_based_positioning_of_flooding_sensors_to_reduce_prediction.pdf
Final Published Version
Download (7MB)| Preview

Abstract

From the perspective of the design-stage evolution of damage stability, it is recognised that only certain combinations of damaged compartments will result in critical flooding cases with high risk of vessel loss. This knowledge may be utilised to identify optimised location of flooding sensors for the purpose of survivability prediction during actual flooding casualties. It is the aim of this paper to demonstrate the methodology for determining optimal sensor positions based on the identification of critical damage cases and associated flood-water propagation paths. The study confirms that a significant proportion of damage cases and relevant compartments are not critical, hence, focus should rather be placed on the critical, high-risk, areas to enable high accuracy prediction where it matters.

ORCID iDs

Bertheussen Karolius, Kristian, Cichowicz, Jakub and Vassalos, Dracos ORCID logoORCID: https://orcid.org/0000-0002-0929-6173;
CORE (COnnecting REpositories)