International Journal of Structural Mechanics and Finite Elements
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 the theories of finite element analysis. The accuracy, efficiency, and versatility of the suggested approach are noteworthy, and it may be used to a wide range of situations in the real world.Keywords
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