Advanced fuzzy quantitative risk assessment through the integration of computational fluid dynamics, individual and societal risks

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dc.contributor.authorRania , BAAZIZ.Enc. Abderraouf, .BOUAFIA.
dc.date.accessioned2026-07-14T12:15:00Z
dc.date.available2026-07-14T12:15:00Z
dc.date.issued2026-07-06
dc.description.abstractThis thesis develops an advanced fuzzy Quantitative Risk Assessment (QRA) methodology applied to the depropanizer column (T-301) of the GL1K LNG complex in Skikda. Hazardous scenarios were identified via HAZOP and modeled through Fault Tree/Event Tree Analysis (GRIF), with basic event frequencies revised using a BORA-based Mamdani fuzzy inference system in MATLAB across five Risk Influencing Factors. Consequences (pool fire, flash fire, fireball/BLEVE, VCE) were simulated with PHAST, and individual and societal risks quantified with SAFETI. Results show the fireball/BLEVE dominates risk, with the site-wide individual risk contour and FN curve both exceeding acceptability thresholds, supporting targeted risk-reduction recommendations for GL1K
dc.identifier.urihttp://dspace.univ-skikda.dz:4000/handle/123456789/6120
dc.language.isoen
dc.publisher20 AUGUST 1955 SKIKDA UNIVERSITY
dc.titleAdvanced fuzzy quantitative risk assessment through the integration of computational fluid dynamics, individual and societal risks
dc.typeThesis
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