Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis

<p>Fragility curves (FCs) are key tools for seismic probabilistic safety assessments that are performed at the level of the nuclear power plant (NPP). These statistical methods relate the probabilistic seismic hazard loading at the given site to the required performance of the NPP safety funct...

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Main Authors: J. Rohmer, P. Gehl, M. Marcilhac-Fradin, Y. Guigueno, N. Rahni, J. Clément
Format: Article
Language:English
Published: Copernicus Publications 2020-05-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://www.nat-hazards-earth-syst-sci.net/20/1267/2020/nhess-20-1267-2020.pdf
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spelling doaj-77ef8e2031b34ef0a14795d0bb595e372020-11-25T02:57:27ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812020-05-01201267128510.5194/nhess-20-1267-2020Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysisJ. Rohmer0P. Gehl1M. Marcilhac-Fradin2Y. Guigueno3N. Rahni4J. Clément5BRGM, 3 av. C. Guillemin, 45060 Orléans CEDEX 2, FranceBRGM, 3 av. C. Guillemin, 45060 Orléans CEDEX 2, FranceIRSN, Radioprotection and Nuclear Safety Institute, BP 17, 92262 Fontenay-aux-Roses CEDEX, FranceIRSN, Radioprotection and Nuclear Safety Institute, BP 17, 92262 Fontenay-aux-Roses CEDEX, FranceIRSN, Radioprotection and Nuclear Safety Institute, BP 17, 92262 Fontenay-aux-Roses CEDEX, FranceIRSN, Radioprotection and Nuclear Safety Institute, BP 17, 92262 Fontenay-aux-Roses CEDEX, France<p>Fragility curves (FCs) are key tools for seismic probabilistic safety assessments that are performed at the level of the nuclear power plant (NPP). These statistical methods relate the probabilistic seismic hazard loading at the given site to the required performance of the NPP safety functions. In the present study, we investigate how the tools of non-stationary extreme value analysis can be used to model in a flexible manner the tail behaviour of the engineering demand parameter as a function of the considered intensity measure. We focus the analysis on the dynamic response of an anchored steam line and of a supporting structure under seismic solicitations. The failure criterion is linked to the exceedance of the maximum equivalent stress at a given location of the steam line. A series of three-component ground-motion records (<span class="inline-formula">∼300</span>) were applied at the base of the model to perform non-linear time history analyses. The set of numerical results was then used to derive a FC, which relates the failure probability to the variation in peak ground acceleration (PGA). The probabilistic model of the FC is selected via information criteria completed by diagnostics on the residuals, which support the choice of the generalised extreme value (GEV) distribution (instead of the widely used log-normal model). The GEV distribution is here non-stationary, and the relationships of the GEV parameters (location, scale and shape) are established with respect to PGA using smooth non-linear models. The procedure is data-driven, which avoids the introduction of any a priori assumption on the shape or form of these relationships. To account for the uncertainties in the mechanical and geometrical parameters of the structures (elastic stiffness, damping, pipeline thicknesses, etc.), the FC is further constructed by integrating these uncertain parameters. A penalisation procedure is proposed to set to zero the variables of little influence in the smooth non-linear models. This enables us to outline which of these parametric uncertainties have negligible influence on the failure probability as well as the nature of the influence (linear, non-linear, decreasing, increasing, etc.) with respect to each of the GEV parameters.</p>https://www.nat-hazards-earth-syst-sci.net/20/1267/2020/nhess-20-1267-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author J. Rohmer
P. Gehl
M. Marcilhac-Fradin
Y. Guigueno
N. Rahni
J. Clément
spellingShingle J. Rohmer
P. Gehl
M. Marcilhac-Fradin
Y. Guigueno
N. Rahni
J. Clément
Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
Natural Hazards and Earth System Sciences
author_facet J. Rohmer
P. Gehl
M. Marcilhac-Fradin
Y. Guigueno
N. Rahni
J. Clément
author_sort J. Rohmer
title Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
title_short Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
title_full Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
title_fullStr Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
title_full_unstemmed Non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
title_sort non-stationary extreme value analysis applied to seismic fragility assessment for nuclear safety analysis
publisher Copernicus Publications
series Natural Hazards and Earth System Sciences
issn 1561-8633
1684-9981
publishDate 2020-05-01
description <p>Fragility curves (FCs) are key tools for seismic probabilistic safety assessments that are performed at the level of the nuclear power plant (NPP). These statistical methods relate the probabilistic seismic hazard loading at the given site to the required performance of the NPP safety functions. In the present study, we investigate how the tools of non-stationary extreme value analysis can be used to model in a flexible manner the tail behaviour of the engineering demand parameter as a function of the considered intensity measure. We focus the analysis on the dynamic response of an anchored steam line and of a supporting structure under seismic solicitations. The failure criterion is linked to the exceedance of the maximum equivalent stress at a given location of the steam line. A series of three-component ground-motion records (<span class="inline-formula">∼300</span>) were applied at the base of the model to perform non-linear time history analyses. The set of numerical results was then used to derive a FC, which relates the failure probability to the variation in peak ground acceleration (PGA). The probabilistic model of the FC is selected via information criteria completed by diagnostics on the residuals, which support the choice of the generalised extreme value (GEV) distribution (instead of the widely used log-normal model). The GEV distribution is here non-stationary, and the relationships of the GEV parameters (location, scale and shape) are established with respect to PGA using smooth non-linear models. The procedure is data-driven, which avoids the introduction of any a priori assumption on the shape or form of these relationships. To account for the uncertainties in the mechanical and geometrical parameters of the structures (elastic stiffness, damping, pipeline thicknesses, etc.), the FC is further constructed by integrating these uncertain parameters. A penalisation procedure is proposed to set to zero the variables of little influence in the smooth non-linear models. This enables us to outline which of these parametric uncertainties have negligible influence on the failure probability as well as the nature of the influence (linear, non-linear, decreasing, increasing, etc.) with respect to each of the GEV parameters.</p>
url https://www.nat-hazards-earth-syst-sci.net/20/1267/2020/nhess-20-1267-2020.pdf
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