Impact assessment of wave statistics on ship survivability

Research output: Contribution to conferenceProceeding

Abstract

This paper presents a brief summary of the work conducted by the MSRC at Strathclyde University in which the effect of operational location on the estimation of a vessel’s survival probability has been investigated and new s- factor formulations proposed. Further work is presented in which updated accident wave statistics have been used in order to assess the impact of vessel specific data on the predicted survivability. A test case on a large container ship has been conducted in order to gauge the effect of the new s-factor formula on the Attained Subdivision Index and thus the vessel safety level with regards to collision damage.

Conference

ConferenceTransport Research Arena (TRA) 2018
Abbreviated titleTRA2018
CountryAustria
CityVienna
Period16/04/1819/04/18

Fingerprint

Gages
Containers
Accidents
Ships
Statistics

Keywords

  • survivability
  • damage stability
  • probabilistic framwork
  • s-factor

Cite this

@conference{efbc9da1b6cc40e2a60a7dfedd2e78a9,
title = "Impact assessment of wave statistics on ship survivability",
abstract = "This paper presents a brief summary of the work conducted by the MSRC at Strathclyde University in which the effect of operational location on the estimation of a vessel’s survival probability has been investigated and new s- factor formulations proposed. Further work is presented in which updated accident wave statistics have been used in order to assess the impact of vessel specific data on the predicted survivability. A test case on a large container ship has been conducted in order to gauge the effect of the new s-factor formula on the Attained Subdivision Index and thus the vessel safety level with regards to collision damage.",
keywords = "survivability, damage stability, probabilistic framwork, s-factor",
author = "Donald Paterson and Georgios Atzampos and Dracos Vassalos and Evangelos Boulougouris",
year = "2018",
month = "4",
day = "16",
doi = "10.5281/zenodo.1491474",
language = "English",
note = "Transport Research Arena (TRA) 2018, TRA2018 ; Conference date: 16-04-2018 Through 19-04-2018",

}

Impact assessment of wave statistics on ship survivability. / Paterson, Donald; Atzampos, Georgios; Vassalos, Dracos; Boulougouris, Evangelos.

2018. Transport Research Arena (TRA) 2018, Vienna, Austria.

Research output: Contribution to conferenceProceeding

TY - CONF

T1 - Impact assessment of wave statistics on ship survivability

AU - Paterson, Donald

AU - Atzampos, Georgios

AU - Vassalos, Dracos

AU - Boulougouris, Evangelos

PY - 2018/4/16

Y1 - 2018/4/16

N2 - This paper presents a brief summary of the work conducted by the MSRC at Strathclyde University in which the effect of operational location on the estimation of a vessel’s survival probability has been investigated and new s- factor formulations proposed. Further work is presented in which updated accident wave statistics have been used in order to assess the impact of vessel specific data on the predicted survivability. A test case on a large container ship has been conducted in order to gauge the effect of the new s-factor formula on the Attained Subdivision Index and thus the vessel safety level with regards to collision damage.

AB - This paper presents a brief summary of the work conducted by the MSRC at Strathclyde University in which the effect of operational location on the estimation of a vessel’s survival probability has been investigated and new s- factor formulations proposed. Further work is presented in which updated accident wave statistics have been used in order to assess the impact of vessel specific data on the predicted survivability. A test case on a large container ship has been conducted in order to gauge the effect of the new s-factor formula on the Attained Subdivision Index and thus the vessel safety level with regards to collision damage.

KW - survivability

KW - damage stability

KW - probabilistic framwork

KW - s-factor

U2 - 10.5281/zenodo.1491474

DO - 10.5281/zenodo.1491474

M3 - Proceeding

ER -