Substructure damage detection method for shear structure using sub-time series and ARMAX

Liu Mei, Akira Mita, Zhenhua Xing

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

A local damage detection method for shear structure based on substructure approach and sub-time series superposition is proposed, which is promising for application in parallel and distributed damage detection systems. This method requires only three sensors to identify localized damage in any story of a building and it doesn't require constructing the structure models. A substructure method was used in this method to divide a complete structure into several substructures. Each substructure has a considerably smaller number of degrees of freedom (DOFs) which makes fewer requirements on the computing power of the data processing system. The algorithm is simple, which involves only algebra calculation and does not need any iterative computation. Moreover the damage detection process can be independently conducted on each substructure. Thus, this method is easy, efficient and suitable for being embedded into parallel and distributed damage detection systems. To better assess the performance of the method proposed above, experimental verification of the proposed approach has been conducted, which shows the proposed method works quite well and stably.

元の言語English
ホスト出版物のタイトルStructural Health Monitoring
ホスト出版物のサブタイトルResearch and Applications
ページ149-159
ページ数11
DOI
出版物ステータスPublished - 2013 7 26
イベント4th Asia-Pacific Workshop on Structural Health Monitoring - Melbourne, VIC, Australia
継続期間: 2012 12 52012 12 7

出版物シリーズ

名前Key Engineering Materials
558
ISSN(印刷物)1013-9826

Other

Other4th Asia-Pacific Workshop on Structural Health Monitoring
Australia
Melbourne, VIC
期間12/12/512/12/7

    フィンガープリント

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

これを引用

Mei, L., Mita, A., & Xing, Z. (2013). Substructure damage detection method for shear structure using sub-time series and ARMAX. : Structural Health Monitoring: Research and Applications (pp. 149-159). (Key Engineering Materials; 巻数 558). https://doi.org/10.4028/www.scientific.net/KEM.558.149