Appliance of Elman neural networks in damage diagnosis of radial gate

Damage diagnosis and health monitoring of large-scale structures are becoming a hot research subject in the present structural engineering circle. Elman neural network is presented to identify and locate the crack damage of a radial gate located in the middle reaches of the main stream of the Jialin...

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Bibliographic Details
Published in2010 International Conference on Mechanic Automation and Control Engineering pp. 1037 - 1040
Main Authors Zhang Jianwei, Zhang Yina
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Analytical models
Civil engineering
damage identification
Elman neural network
Home appliances
Large-scale systems
Monitoring
Neural networks
Numerical simulation
radial gate
Rivers
simulation analysis
Structural engineering
Water conservation
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Summary:Damage diagnosis and health monitoring of large-scale structures are becoming a hot research subject in the present structural engineering circle. Elman neural network is presented to identify and locate the crack damage of a radial gate located in the middle reaches of the main stream of the Jialing River. This method is an aggregation neural networks and pattern identification. And also make the combined index as input data of Elman neural networks, and make the damaged locations and degree as output data. Numerical simulation results show that Elman neural network method can make a better diagnosis for single and multiple damage identification.
ISBN:9781424477371
1424477379
DOI:10.1109/MACE.2010.5536732