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dc.creatorGiagopoulos D., Arailopoulos A., Dertimanis V., Papadimitriou C., Chatzi E., Grompanopoulos K.en
dc.date.accessioned2023-01-31T07:41:34Z
dc.date.available2023-01-31T07:41:34Z
dc.date.issued2017
dc.identifier10.1016/j.proeng.2017.09.424
dc.identifier.issn18777058
dc.identifier.urihttp://hdl.handle.net/11615/72270
dc.description.abstractThis study proposes a computational framework for the online estimation of fatigue damage using operational vibration measurements from a limited number of sensors. To infer the stress response time histories required for fatigue prediction, the measured structural response is driven to a high fidelity finite element (FE) model, which is reconciled using appropriate model updating techniques that minimize the discrepancy between the experimental and analytical frequency response functions (FRFs). Fatigue is accordingly estimated via the Palmgren-Miner rule, while the available FE model allows for stress estimation at unmeasured spots. The method is successfully validated and assessed through an experimental study that pertains to a linear steel substructure supporting the entire body of a pre-beater assembly at a PPC power plant. © 2017 The Authors. Published by Elsevier Ltd.en
dc.language.isoenen
dc.sourceProcedia Engineeringen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85029908296&doi=10.1016%2fj.proeng.2017.09.424&partnerID=40&md5=366e9a12f6f352a216eee80b059ccc34
dc.subjectFinite element methoden
dc.subjectFrequency responseen
dc.subjectIdentification (control systems)en
dc.subjectStrainen
dc.subjectStructural analysisen
dc.subjectStructural dynamicsen
dc.subjectVibration measurementen
dc.subjectAnalytical frequenciesen
dc.subjectComputational frameworken
dc.subjectFE model updatingen
dc.subjectOperational vibration measurementen
dc.subjectOutput onlyen
dc.subjectPalmgren-Miner ruleen
dc.subjectSteel substructuresen
dc.subjectStructural responseen
dc.subjectFatigue damageen
dc.subjectElsevier Ltden
dc.titleComputational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensorsen
dc.typeconferenceItemen


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