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Title

Modelling Pan-European ground motions for seismic hazard applications

AuthorsGarcía-Fernández, Mariano CSIC ORCID ; Gehl, Pierre; Jiménez-Santos, María José CSIC ORCID ; D'Ayala, Dina
KeywordsGround-motion model
Epistemic uncertainty
Seismic hazard
Seismic risk
Pan-European
Issue Date1-Apr-2019
PublisherSpringer
CitationBulletin of Earthquake Engineering 17: 2821-2840 (2019)
AbstractGround motion models (GMMs) are a key component in seismic hazard assessment and in seismic risk analysis. The consideration of both aleatory and epistemic sources of variabil-ity may have significant influence on the results and are vital because of their influence on the over- or under-estimation of the final assessment of losses. Recent research has shown that the commonly used framework of weighted logic trees for the choice of GMMs is not necessarily the best suited to account for epistemic uncertainty. Recently, a simple and alternative procedure has been proposed in which a GMM suite is defined with only three representative models (lower, central and upper) derived from available median models. This alternative model is equivalent to the use of multiple models, provided the same range of epistemic uncertainty is sampled. The representative suite approach was applied to the European context for developing a Pan-European GMM for EC8 ground type B and nor-mal or strike slip faulting style for its implementation in risk analysis of critical infrastruc-tures Europe wide, within the framework of the European funded project INFRARISK. The proposed new Pan-European representative GMM is based on the most recent GMMs developed using the common RESORCE strong-motion database of European and Near and Middle East acceleration records. It is shown to perform well when tested against new ground-motion observations from the ESM-Engineering Strong-Motion database and even slightly better than other available GMMs. The procedure is efficient and transparent limit-ing the sample space to three GMMs and reducing both complexity of the modelling and computational efforts.
Publisher version (URL)http://dx.doi.org/10.1007/s10518-019-00605-4
URIhttp://hdl.handle.net/10261/226852
Identifiersdoi: 10.1007/s10518-019-00605-4
issn: 1570-761X
Appears in Collections:(MNCN) Artículos




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