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Vulnerability models for environmental risk assessment. Application to a nuclear power plant containment building.

Authors :
Musolas, A.
Egozcue, J.
Crusells-Girona, M.
Source :
Stochastic Environmental Research & Risk Assessment. Dec2016, Vol. 30 Issue 8, p2287-2301. 15p.
Publication Year :
2016

Abstract

Environmental risk management consists of making decisions on human activities or construction designs that are affected by the environment and/or have consequences or impacts on it. In these cases, decisions are made such that risk is minimized. In this regard, the forthcoming paper develops a close form that relates risk with cost, hazard, and vulnerability; and then focuses on vulnerability. The vulnerability of a system under an external action can be described by the conditional probability of the degrees of damage after an event. This vulnerability model can be obtained by a simplicial regression of those outputs, as a response variable, on explanatory variables. After a theoretical explanation, the authors present the case study of a nuclear power plant containment building. Once a given overpressure is registered inside the containment building, three possible outputs are to be considered: serviceability, breakdown, and collapse. The study consists of three steps: (a) modelling the containment building using the finite element method; (b) given an overpressure, simulating uncertain parameters related to material constitutive equations in order to obtain the corresponding proportions; (c) performing a simplicial regression to obtain a meaningful vulnerability model. The simulation provides normalized-to-unity outputs under the overpressure conditions. The obtained vulnerability model is in definite correspondence with previous results in nuclear power plant safety analysis reports. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14363240
Volume :
30
Issue :
8
Database :
Academic Search Index
Journal :
Stochastic Environmental Research & Risk Assessment
Publication Type :
Academic Journal
Accession number :
119755663
Full Text :
https://doi.org/10.1007/s00477-015-1179-1