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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
LanguageEnglish
Title of host publication13th International Conference on the Stability of Ships and Ocean Vehicles
Place of PublicationJapan
Pages627-637
Number of pages10
Publication statusPublished - 16 Sep 2018

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Sensors
Water
Uncertainty

Keywords

  • flooding sensors
  • damage stability
  • prediction technique
  • critical damage cases

Cite this

Bertheussen Karolius, K., Cichowicz, J., & Vassalos, D. (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 (pp. 627-637). Japan.
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title = "Risk-based positioning of flooding sensors to reduce prediction uncertainty of damage survivability",
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.",
keywords = "flooding sensors, damage stability, prediction technique, critical damage cases",
author = "{Bertheussen Karolius}, Kristian and Jakub Cichowicz and Dracos Vassalos",
year = "2018",
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day = "16",
language = "English",
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booktitle = "13th International Conference on the Stability of Ships and Ocean Vehicles",

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Bertheussen Karolius, K, Cichowicz, J & Vassalos, D 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. Japan, pp. 627-637.

Risk-based positioning of flooding sensors to reduce prediction uncertainty of damage survivability. / Bertheussen Karolius, Kristian; Cichowicz, Jakub; Vassalos, Dracos.

13th International Conference on the Stability of Ships and Ocean Vehicles. Japan, 2018. p. 627-637.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Risk-based positioning of flooding sensors to reduce prediction uncertainty of damage survivability

AU - Bertheussen Karolius, Kristian

AU - Cichowicz, Jakub

AU - Vassalos, Dracos

PY - 2018/9/16

Y1 - 2018/9/16

N2 - 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.

AB - 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.

KW - flooding sensors

KW - damage stability

KW - prediction technique

KW - critical damage cases

UR - http://stab2018.naoe.eng.osaka-u.ac.jp/

M3 - Conference contribution

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BT - 13th International Conference on the Stability of Ships and Ocean Vehicles

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Bertheussen Karolius K, Cichowicz J, Vassalos D. 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. Japan. 2018. p. 627-637