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Two-dimensional fuzzy fault tree analysis for chlorine release from a chlor-alkali industry using expert elicitation

Renjith, VR and Madhu, G and Nayagam, Lakshmana Gomathi V and Bhasi, AB (2010) Two-dimensional fuzzy fault tree analysis for chlorine release from a chlor-alkali industry using expert elicitation. In: Journal of Hazardous Materials, 183 (1-3). pp. 103-110.

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Official URL: http://dx.doi.org/10.1016/j.jhazmat.2010.06.116

Abstract

The hazards associated with major accident hazard (MAN) industries are fire, explosion and toxic gas releases. Of these, toxic gas release is the worst as it has the potential to cause extensive fatalities. Qualitative and quantitative hazard analyses are essential for the identification and quantification of these hazards related to chemical industries. Fault tree analysis (FTA) is an established technique in hazard identification. This technique has the advantage of being both qualitative and quantitative, if the probabilities and frequencies of the basic events are known. This paper outlines the estimation of the probability of release of chlorine from storage and filling facility of chlor-alkali industry using FTA. An attempt has also been made to arrive at the probability of chlorine release using expert elicitation and proven fuzzy logic technique for Indian conditions. Sensitivity analysis has been done to evaluate the percentage contribution of each basic event that could lead to chlorine release. Two-dimensional fuzzy fault tree analysis (TDFFTA) has been proposed for balancing the hesitation factor involved in expert elicitation. (C) 2010 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Additional Information: Copyright of this article belongs to Elsevier Science.
Keywords: Fault tree analysis; Fuzzy logic; Two-dimensional fuzzy fault tree analysis; Expert elicitation; Sensitivity analysis.
Department/Centre: Division of Information Sciences > Management Studies
Date Deposited: 26 Oct 2010 09:17
Last Modified: 26 Oct 2010 09:17
URI: http://eprints.iisc.ernet.in/id/eprint/33418

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