Structural Properties Identification of Damaged Beam Structure Using Real Time Signals

This paper is concerned with the development of damage identification technique for a simple beam structure in order to monitor the structural health condition. The damaged structural stiffness and mass matrices were identified based on the specified loading and response signals. The finite element beam model was simplified to become a substructure model according to the Guyan reduction method and the dynamic reduction process. The orthogonal polynomial approach was subsequently used to extract the proposed distributed parameter model in question. The identified structural stiffness and mass matrices for the reduced model with or without damage were furthermore transformed to the corresponding global unreduced structural matrices by means of the back-propagation artificial neural network scheme and the binary coded genetics algorithm. Based on the identified damaged structural stiffness and mass matrices, the damage locations and the extent of damage of the beam structure were then determined. Through numerical validation, current identification process is capable of monitoring the structural health condition by using specified time domain input and output signals.

並列關鍵字

Structural health monitoring ； Damage identification ； Finite element ； Neural network ； Genetic algorithm

國際替代計量

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