Structural Damage Identification Based on Acceleration Response Vibration Transmissibility

Abstract:

When the frequency response function (FRF) and Back-propagation (BP) neural network are used to identify the structural damage, problems such as the excitation information can not be got easily, the network is difficult to converge and the network stability is poor as the oversize input vectors. So, in this paper, two node acceleration responses of the structure under the white noise are directly used to construct the vibration transmissibility, and principal component analysis (PCA) is pursued to the amplitude of the vibration transmissibility for dimensionality reduction. The combinations of principal component variation before and after damage are used as the damage characteristic vectors, and which are input into the BP neural network for damage identification, the influences of the different degrees of noise during the damage identification are considered simultaneously. The results of numerical simulation and model experiment of offshore platform show that the method can identify the different degrees of structural damage.

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 640-645
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.640
• Online since: November 2012
• Authors: Yan Song Diao, Qi Liang Zhang, Dong Mei Meng
• Keywords: BP Neural Network (BPNN), Damage Identification, Principal Component Analysis (PCA), Vibration Transmissibility

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