Structural damage identification by neural networks and modal analysis

H. T. Zheng, S. T. Xue, Y. Y. Qian, L. Y. Xie, A. Mita

研究成果: Conference contribution

抄録

The basis for the approach to damage identification is that changes in the structure's physical properties. This paper proposes a nondestructive testing technique based on modal analysis is discussed in order to develop a new, efficient and simple damage detection method for civil structures. This paper presents a sensitivity study comparing the sensitivities of frequencies, mode shapes, and modal flexibilities. Sensitivity-based analysis for the features vectors extraction. The neural networks (NNs) are introduced in this study, the combined parameters of the "frequency change ratios (FCRs) and shifts in modal flexibilities (SMFs)" are presented as the input features of NNs in structural damage identification. It is also shown, through a simulation, that this method is verified to be practical for the location and extent of structural damage identification.

本文言語English
ホスト出版物のタイトルStructural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure
ページ635-639
ページ数5
出版ステータスPublished - 2003
イベント1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, SHMII-1'2003 - Tokyo, Japan
継続期間: 2003 11 132003 11 15

出版物シリーズ

名前Structural Health Monitoring and Intelligent Infrastructure - Proceedings of the 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure
1

Other

Other1st International Conference on Structural Health Monitoring and Intelligent Infrastructure, SHMII-1'2003
国/地域Japan
CityTokyo
Period03/11/1303/11/15

ASJC Scopus subject areas

  • 建築および建設
  • 建築

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