A numerical procedure for computing the fragility of NPP components under random seismic excitation

Abstract A numerical procedure is proposed in the paper for computing seismic fragility functions for equipment components in Nuclear Power Plants. The procedure is based on the hypothesis, which is typical when seismic excitation of components is addressed, of linear behaviour of the building. Given the large size of the FE element models adopted for the building, which makes direct Monte Carlo simulation impossible, the response surface methodology is used to model the influence of the random variables on the dynamic response. To account for stochastic loading the latter is estimated by means of a simulation procedure. Once the response surfaces defining the statistical properties of the response are available, the Monte Carlo method is used to compute the failure probability. A procedure for refining the RS estimation is also proposed, based on the evaluation of risk for a prototype site. A validation example is given, regarding the simplified modelling of a reactor building resting on a base-isolation system; results obtained by plain Monte Carlo analysis are compared to those computed via the proposed procedure The latter is finally applied to a real life case, taken from the preliminary design of the auxiliary building within the IRIS international project.

[1]  M. Fardis,et al.  Designer's guide to EN 1998-1 and en 1998-5 Eurocode 8: Design of structures for earthquake resistance; general rules, seismic actions, design rules for buildings, foundations and retaining structures/ M.Fardis[et al.] , 2005 .

[2]  A. Kiureghian Non‐ergodicity and PEER's framework formula , 2005 .

[3]  G. Schuëller,et al.  Chair of Engineering Mechanics Ifm-publication 2-374 a Critical Appraisal of Reliability Estimation Procedures for High Dimensions , 2022 .

[4]  C. Bucher,et al.  A fast and efficient response surface approach for structural reliability problems , 1990 .

[5]  R. P. Kennedy,et al.  Probabilistic seismic safety study of an existing nuclear power plant , 1980 .

[6]  Federico Perotti,et al.  Dynamic Modelling for the Assessment Of Seismic Fragility of NPP Components , 2007 .

[7]  L. Faravelli Response‐Surface Approach for Reliability Analysis , 1989 .

[8]  P. Franchin,et al.  Seismic Reliability Analysis of Structures , 2004 .

[9]  Jinsuo Nie,et al.  A new directional simulation method for system reliability. Part I: application of deterministic point sets , 2004 .

[10]  N. Null Seismic Analysis of Safety-Related Nuclear Structures and Commentary , 2000 .

[11]  Bruce R. Ellingwood,et al.  A new look at the response surface approach for reliability analysis , 1993 .

[12]  Federico Perotti,et al.  An Innovative Methodology for Computing Fragility Curves of NPP Components Under Random Seismic Excitation , 2007 .

[13]  Fabio Casciati,et al.  Fragility analysis of complex structural systems , 1991 .

[14]  Phaedon-Stelios Koutsourelakis Reliability of structures in high dimensions. Part II. Theoretical validation , 2004 .

[15]  M. K. Ravindra,et al.  Seismic fragilities for nuclear power plant risk studies , 1984 .

[16]  Wanzhu Tu,et al.  Dual response surface optimization , 1995 .

[17]  N. Draper,et al.  Applied Regression Analysis , 1966 .

[18]  G. I. Schuëller,et al.  Benchmark Study on Reliability Estimation in Higher Dimensions of Structural Systems – An Overview , 2007 .

[19]  Jinsuo Nie,et al.  A new directional simulation method for system reliability. Part II: application of neural networks , 2004 .

[20]  Hisashi Ninokata,et al.  The design and safety features of the IRIS reactor , 2004 .

[21]  Peeranan Towashiraporn,et al.  Building Seismic Fragilities Using Response Surface Metamodels , 2004 .

[22]  M. F. Pellissetti,et al.  The effects of uncertainties in structural analysis , 2007 .

[23]  Gerhart Schueller On procedures for reliability assessment of mechanical systems and structures-keynote paper , 2004 .