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Computational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensors

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Autor
Giagopoulos D., Arailopoulos A., Dertimanis V., Papadimitriou C., Chatzi E., Grompanopoulos K.
Fecha
2017
Language
en
DOI
10.1016/j.proeng.2017.09.424
Materia
Finite element method
Frequency response
Identification (control systems)
Strain
Structural analysis
Structural dynamics
Vibration measurement
Analytical frequencies
Computational framework
FE model updating
Operational vibration measurement
Output only
Palmgren-Miner rule
Steel substructures
Structural response
Fatigue damage
Elsevier Ltd
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Resumen
This 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.
URI
http://hdl.handle.net/11615/72270
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
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