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

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Abstract

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.

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Giagopoulos, D., Arailopoulos, A., Dertimanis, V., Papadimitriou, C., Chatzi, E., & Grompanopoulos, K. (2017). Computational Framework for Online Estimation of Fatigue Damage using Vibration Measurements from a Limited Number of Sensors. In Procedia Engineering (Vol. 199, pp. 1906ā€“1911). Elsevier Ltd. https://doi.org/10.1016/j.proeng.2017.09.424

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