Damage Identification of Structure Based on RBF Neural Network

Cheng Gang Zhen; Xiang Ting Chong

doi:10.4028/www.scientific.net/AMR.753-755.2356

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 753-755Damage Identification of Structure Based on RBF...

Damage Identification of Structure Based on RBF Neural Network

Abstract:

Health monitoring of the structure is a topic widely concerned and researched in the fields of technology and engineering at home and abroad. Damage identification of structure is an important aspect of the whole health monitoring system. In this paper, the RBF neural network with the effect of bionic is used to the extent, location and area recognition of the damage on the structure with single damage. The method of orthogonal least squares (OLS) is used as the learning method of the network. The test results show that the RBF neural network and the learning method of OLS can identify the damage status of the structure quickly and effectively with high accuracy.

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Periodical:

Advanced Materials Research (Volumes 753-755)

Pages:

2356-2359

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.753-755.2356

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Online since:

August 2013

Authors:

Cheng Gang Zhen, Xiang Ting Chong

Keywords:

Damage Identification of Structure, Method of OLS, RBF Neural Network

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