The Crack Injury Detection Based CMR and Natural Frequency with BP Neutral Network

Author

Liu, Mingjun ; Li, Li ; Zhao, Xiuyang ; Liu, Hua

Author_Institution

Sch. of Electr. Eng. & Autom., Harbin Inst. of Technol. Harbin Heilongjiang, Harbin, China

fYear

2010

fDate

22-24 Jan. 2010

Firstpage

314

Lastpage

317

Abstract

In this paper a new approach based curvature mode ratio (CMR) and natural frequency with BP neutral network for crack injury detection is proposed. Taking a simple cantilever beam with multiple damage and perfect structure as study object, injury indices are gained by way of analysis the merit and drawback of natural frequency and the curvature mode, then use BP neutral network training tests that regards the natural frequency, the amount of the frequency relative decline and the first-order maximum CMR as the input parameter, crack location and injury degree as the output parameter. The simulated results confirm that the method can be very well applied to the crack damage identification.

Keywords

backpropagation; beams (structures); cantilevers; crack detection; neural nets; structural engineering computing; BP neutral network; CMR; crack injury detection; crack location; curvature mode ratio; injury degree; multiple damage cantilever beam; natural frequency; Artificial neural networks; Automation; Feedforward neural networks; Frequency; Function approximation; Injuries; Iterative algorithms; Neural networks; Structural beams; Testing; BP Neutral Network; CMR; Natural Frequency;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Networks, 2010. ICFN '10. Second International Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3940-9

Electronic_ISBN

978-1-4244-5667-3

Type

conf

DOI

10.1109/ICFN.2010.38

Filename

5431831