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A new framework for multi-hazards risk aggregation

Authors :
Dominique Vasseur
Zhiguo Zeng
Tasneem Bani-Mustafa
Enrico Zio
Laboratoire Génie Industriel - EA 2606 (LGI)
CentraleSupélec
Chaire Sciences des Systèmes et Défis Energétiques EDF/ECP/Supélec (SSEC)
Ecole Centrale Paris-Ecole Supérieure d'Electricité - SUPELEC (FRANCE)-CentraleSupélec-EDF R&D (EDF R&D)
EDF (EDF)-EDF (EDF)
Centre de recherche sur les Risques et les Crises (CRC)
MINES ParisTech - École nationale supérieure des mines de Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Management des Risques Industriels (EDF R&D MRI)
EDF R&D (EDF R&D)
Source :
Safety Science, Safety Science, Elsevier, 2020, 121, pp.283-302. ⟨10.1016/j.ssci.2019.08.043⟩
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

International audience; In this paper, we develop a new method for Multi-Hazards Risk Aggregation (MHRA). A hierarchical framework is first developed for evaluating the trustworthiness of the risk assessment. The evaluation is based on two main attributes (criteria), i.e., the strength of knowledge supporting the assessment and the fidelity of the risk assessment model. These two attributes are further broken down into sub-attributes and, finally, leaf attributes. The trustworthiness is calculated using a weighted average of the leaf attributes, in which the weights are calculated using the Dempster Shafer Theory-Analytical Hierarchy Process (DST-AHP). Risk aggregation is, then, performed by a “weighted posterior” method, considering the level of trustworthiness. An application to the risk aggregation of two hazard groups in Nuclear Power Plants (NPP) is illustrated.

Details

ISSN :
09257535
Volume :
121
Database :
OpenAIRE
Journal :
Safety Science
Accession number :
edsair.doi.dedup.....ffcc414831abff1d6417855c3d5d6886