DocumentCode
2811163
Title
Notice of Retraction
Damage identification of a concrete cantilever beam based on Elman neural network
Author
Zhao Yu ; Zhang Jianwei
Author_Institution
North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
Volume
1
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Elman neural network is presented to identify and locate the crack damage of concrete structures in this paper. A cantilever is analyzed by finite element method, and the damage indices of the perfect structure and damaged structure are gained. Then Elman neural network is used to analyze the single damage and multi-damage quantification and damage location. Numerical simulation results show that Elman neural network method can make a better diagnosis for single and multiple damage identification. This method has certain guiding sense to damage identification in actual structures.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Elman neural network is presented to identify and locate the crack damage of concrete structures in this paper. A cantilever is analyzed by finite element method, and the damage indices of the perfect structure and damaged structure are gained. Then Elman neural network is used to analyze the single damage and multi-damage quantification and damage location. Numerical simulation results show that Elman neural network method can make a better diagnosis for single and multiple damage identification. This method has certain guiding sense to damage identification in actual structures.
Keywords
beams (structures); cantilevers; concrete; cracks; finite element analysis; neural nets; structural engineering computing; Elman neural network; concrete cantilever beam; crack damage; damage identification; damage location; finite element method; multidamage quantification; Training; Elman neural network; concrete cantilever beam; damage identification; simulation analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Type
conf
DOI
10.1109/ICCASM.2010.5619132
Filename
5619132
Link To Document