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Seismic reliability assessment and the nonergodicity in the modelling parameter uncertainties

Fatemeh Jalayer, Hossein Ebrahimian

2020Earthquake Engineering & Structural Dynamics38 citationsDOI

Abstract

Summary Modelling uncertainty can significantly affect the structural seismic reliability assessment. However, the limit state excursion due to this type of uncertainty may not be described by a Poisson process as it lacks renewal properties with the occurrence of each earthquake event. Furthermore, considering uncertainties related to ground motion representation by employing recorded ground motions together with modelling uncertainties is not a trivial task. Robust fragility assessment, proposed previously by the authors, employs the structural response to recorded ground motion as data in order to update prescribed seismic fragility models. Robust fragility can be extremely efficient for considering also the structural modelling uncertainties by creating a dataset of one‐to‐one assignments of structural model realizations and as‐recorded ground motions. This can reduce the computational effort by more than 1 order of magnitude. However, it should be kept in mind that the fragility concept itself is based on the underlying assumption of Poisson‐type renewal. Using the concept of updated robust reliability, considering both the uncertainty in ground motion representation based on as‐recorded ground motion and non ergodic modelling uncertainties, the error introduced through structural reliability assessment by using the robust fragility is quantified. It is shown through specific application to an existing RC frame that this error is quite small when the product of the time interval and the standard deviation of failure rate is small and is on the conservative side.

Topics & Concepts

FragilityReliability (semiconductor)Uncertainty quantificationGround motionPropagation of uncertaintyRepresentation (politics)Computer scienceResidualInterval (graph theory)Incremental Dynamic AnalysisRange (aeronautics)Reliability engineeringMathematicsStructural engineeringEngineeringAlgorithmStatisticsChemistryPhysicsLawPhysical chemistryPower (physics)Political scienceCombinatoricsPoliticsQuantum mechanicsAerospace engineeringSeismic Performance and AnalysisStructural Health Monitoring TechniquesProbabilistic and Robust Engineering Design
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