STUDY ON DATA FUSION METHOD FOR TRUSS STRUCTURE DAMAGE IDENTIFICATION

Wang Wanping; Weng Guangyuan; Shen Wei

doi:10.13204/j.gyjz201212028

Volume 42 Issue 12

Dec. 2014

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Wang Wanping, Weng Guangyuan, Shen Wei. STUDY ON DATA FUSION METHOD FOR TRUSS STRUCTURE DAMAGE IDENTIFICATION[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(12): 129-132. doi: 10.13204/j.gyjz201212028

Citation:

Wang Wanping, Weng Guangyuan, Shen Wei. STUDY ON DATA FUSION METHOD FOR TRUSS STRUCTURE DAMAGE IDENTIFICATION[J]. INDUSTRIAL CONSTRUCTION, 2012, 42(12): 129-132. doi: 10.13204/j.gyjz201212028

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STUDY ON DATA FUSION METHOD FOR TRUSS STRUCTURE DAMAGE IDENTIFICATION

doi: 10.13204/j.gyjz201212028

1.
1. Department of Road Engineering,Shaanxi College of Communication Technology,Xi'an 710018,China;
2.
2. Special Equipment Safety Surpervision Inspection Institute of Jiangsu Province,Nanjing 210003,China

Received Date: 2012-04-23
Publish Date: 2012-12-20

Abstract

Abstract

Data fusion techniques were used to do single-damage and multi-damage identification of truss structures.By studying the structural damage theory based on frequency,it was analysed the relation between the normalized frequency and location of damage;and the wavelet probabilistic neural network algorithm was used to modify decision fusion,thus establishing a data fusion model of structural damage identification based on wavelet probabilistic neural network.The structural calculation software was used to calculate the frequency of a typical truss structure,which was integrated into an input feature vector of the wavelet probabilistic neural network algorithm,and a damage identification was done for the truss structure model example.Through truss damage of different locations to verify the effectiveness of the method was verified,and the problems needing attention during engineering uses was proposed.The results showed that data fusion technology based on wavelet probabilistic neural network algorithm was a more reliable damage identification method,and had good prospects for engineering applications.
- structural damage,
- truss structure,
- damage identification,
- data fusion,
- wavelet probabilistic neural network

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References(10)

References

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