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    Adaptive Finite Element Machine for Real-time Structural Damage Detection

    Abstract: Systems for monitoring structural health (SHM) are essential for guaranteeing the consistency and safety of civil infrastructure. The timely identification of structural deterioration is crucial in order to avert major malfunction and save upkeep expenses. In this research, we describe a unique real-time structural damage detection method based on Adaptive Finite Element Machine (AFEM). To locate and diagnose structural degradation in an adaptable manner, AFEM combines machine learning methods with …

    Published in International Journal of Structural Mechanics and Finite Elements · Vol. 9, Issue 2, 2023 · pp. 8–14 Read article

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