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Probabilistic Framework for Onboard Fire-Safety

Ziel

"The traditional fire safety regulations that apply to ship design have been widely described as inadequate in two ways. Firstly they do impose unnecessary and inapplicable constraints on novel designs. Secondly novel designs can have features that do not satisfy the premise of existing rules, thereby setting them free from fire safety rules by default, often leading to unsafe designs. In order to remedy this problem the proposed project ""FIREPROOF"" would develop a very universally applicable regulatory framework for maritime fire safety based on probabilistic models and numerical models of ignition, growth and impact of fires. The framework would be quite similar in principle to the well established probabilistic damage stability regulation. The methodology of the proposed fire safety regulation is summarized as follows: The methodology would consist of a mathematical model that would generate instances of fire scenarios according to the correct probability distribution of the elements of the scenario. It would also consist of numerical models to assess the consequence of the scenarios so generated. For any given ship - traditional or novel, a large number of scenarios would be generated and their consequences assessed, and the results would be aggregated to give rise to fire risk metrics. Constraints based on such risk metrics would serve as statutory regulations that would be completely applicable to novel and unprecedented designs. It would offer the designer greater freedom on the design while enforcing a greater level of safety."

Aufforderung zur Vorschlagseinreichung

FP7-SST-2007-RTD-1
Andere Projekte für diesen Aufruf anzeigen

Koordinator

UNIVERSITY OF STRATHCLYDE
EU-Beitrag
€ 739 500,00
Adresse
Richmond Street 16
G1 1XQ Glasgow
Vereinigtes Königreich

Auf der Karte ansehen

Region
Scotland West Central Scotland Glasgow City
Aktivitätstyp
Higher or Secondary Education Establishments
Kontakt Verwaltung
Martin Gregory (Mr.)
Links
Gesamtkosten
Keine Daten

Beteiligte (12)