A probabilistic framework for generic fire risk assessment and risk-based decision making in buildings

G. De Sanctis*, T K Fischer, J. Kohler, M. Fontana, M. H. Faber

*Kontaktforfatter

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8 Citationer (Scopus)

Abstract

The present paper describes a methodology for generic fire risk assessment in buildings for decision making purposes and optimization. Generic risk assessment facilitates quantification of the expected values of consequences due to fire events in dependence of risk indicators and fire safety measures. Both may be associated with uncertainties due to lack of knowledge and randomness. A probabilistic model allows to consider these uncertainties consistently. Bayesian Probabilistic Networks are a strong tool to build such models. Moreover, it is possible to model complex time related events, affecting the fire development

OriginalsprogEngelsk
TitelApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
Antal sider8
Publikationsdato2011
Sider2000-2007
ISBN (Trykt)9780415669863
StatusUdgivet - 2011
Udgivet eksterntJa
Begivenhed11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Schweiz
Varighed: 1 aug. 20114 aug. 2011

Konference

Konference11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
Land/OmrådeSchweiz
ByZurich
Periode01/08/201104/08/2011
SponsorBundesamt fur Strassen (ASTRA), Walt + Galmarini AG, BKW FMB Energie AG, Det Norske Veritas AS, Swiss Federal Institute of Technology Zurich

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