Structural Damage Detection Based on Curvature Mode Shapes and Neural Network Technique

Structural Damage Detection Based on Curvature Mode Shapes and Neural Network Technique

On the basis of the theory that natural frequency changes and curvature mode shapes can be employed to determine the locations and degrees of damage of structures, a BP neural network technique with an improved input structure was developed. The two networks were used for diagnosis of structural dam...

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Veröffentlicht in:Applied Mechanics and Materials 2012-10, Vol.204-208, p.2907-2912
Hauptverfasser: Zhu, Chang Zhi, Long, Li Juan, Du, Guang Qian, Zhang, Meng
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Long, Li Juan
Du, Guang Qian
Zhang, Meng
description On the basis of the theory that natural frequency changes and curvature mode shapes can be employed to determine the locations and degrees of damage of structures, a BP neural network technique with an improved input structure was developed. The two networks were used for diagnosis of structural damage, and structural damages were predicted using gray theory. The results showed that the gray theory to predict the structural damage neural network was applicable to irregular objects such injury problem diagnosis.
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