Structural Damage Detection Based on BP Neural Network Technique

Author

Lin, Guo ; Jianjun, Wei

Author_Institution

Xuzhou Inst. of Archit. Technolog, Xuzhou, China

Volume

3

fYear

2010

fDate

11-12 May 2010

Firstpage

398

Lastpage

401

Abstract

The method based on frequency measurement to localize structure damage is applied to structure healthy monitor. In this paper, the structural damage detection is divided into three courses. Which are structural damage identification, structural damage localization and structural damage severity determination course. Damage detection course are named by modal parameters and inputted to neural network as parameters for structural health monitoring. Damages of different locations and severity on a box beam are simulated with BP neural network.

Keywords

backpropagation; condition monitoring; neural nets; structural engineering computing; BP neural network technique; frequency measurement; structural damage detection; structural damage identification; structural damage localization; structural damage severity determination course; structural health monitoring; Artificial neural networks; Computer networks; Equations; Frequency; Input variables; Intelligent networks; Intelligent structures; Neural networks; Neurons; Transfer functions; Ddamage Detection; Natural Frequency; Neural Networke; Vibration Modal;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.733

Filename

5522851