|Table of Contents|

Citation:
 Dimitris Konovessis,Wenkui Cai and Dracos Vassalos.Development of Bayesian Network Models for Risk-Based Ship Design[J].Journal of Marine Science and Application,2013,(2):140-151.[doi:10.1007/s11804-013-1179-9]
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Development of Bayesian Network Models for Risk-Based Ship Design

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Title:
Development of Bayesian Network Models for Risk-Based Ship Design
Author(s):
Dimitris Konovessis Wenkui Cai and Dracos Vassalos
Affilations:
Author(s):
Dimitris Konovessis Wenkui Cai and Dracos Vassalos
1. The Ship Stability Research Centre, Department of Naval Architecture and Marine Engineering, University of Strathclyde, Glasgow G4 0LZ, United Kingdom 2. ABS Consulting Singapore (S) Pte Ltd, Singapore 119958, Singapore
Keywords:
risk-based ship design risk assessment data mining Bayesian networks ship safety
分类号:
-
DOI:
10.1007/s11804-013-1179-9
Abstract:
In the past fifteen years, the attention of ship safety treatment as an objective rather than a constraint has started to sweep through the whole maritime industry. The risk-based ship design (RBD) methodology, advocating systematic integration of risk assessment within the conventional design process has started to takeoff. Despite this wide recognition and increasing popularity, important factors that could potentially undermine the quality of the results come from both quantitative and qualitative aspects during the risk assessment process. This paper details a promising solution by developing a formalized methodology for risk assessment through effective storing and processing of historical data combined with data generated through first-principle approaches. This method should help to generate appropriate risk models in the selected platform (Bayesian networks) which can be employed for decision making at design stage.

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Last Update: 2013-07-02