Publication
Title
A multivariable model for estimation of vapor cloud explosion occurrence possibility based on a fuzzy logic approach for flammable materials
Author
Abstract
In this paper, a new method based on Fuzzy theory is presented to estimate the occurrence possibility of vapor cloud explosion (VCE) of flammable materials. This new method helps the analyst to overcome some uncertainties associated with estimating VCE possibility with the Event Tree (ET) technique. In this multi-variable model, the physical properties of the released material and the characteristics of the surrounding environment are used as the parameters specifying the occurrence possibility of intermediate events leading to a VCE. Factors such as area classification, degree of congestion of a plant and release rate are notably affecting the output results. Moreover, the proposed method benefits from experts' opinions in the estimation of the VCE possibility. A refrigeration cycle is used as the case study and the probability of VCE occurrence is determined for different scenarios. In this study, sensitivity analysis is performed on the model parameters to assess their effect on the final values of the VCE possibility. Furthermore, the results are compared with the results obtained using other existing models. Keywords Vapor cloud explosion (VCE); Probability; Possibility estimation; Fuzzy algorithm; Event tree
Language
English
Source (journal)
Journal of loss prevention in the process industries. - Stoneham
Publication
Stoneham : 2015
ISSN
0950-4230
Volume/pages
33(2015), p. 140-150
ISI
000349739200015
Full text (Publisher's DOI)
Full text (open access)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 02.02.2015
Last edited 13.09.2017
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