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

Liu Mei, Akira Mita, Zhenhua Xing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationStructural Health Monitoring
Subtitle of host publicationResearch and Applications
PublisherTrans Tech Publications Ltd
Pages149-159
Number of pages11
ISBN (Print)9783037857151
DOIs
Publication statusPublished - 2013
Event4th Asia-Pacific Workshop on Structural Health Monitoring - Melbourne, VIC, Australia
Duration: 2012 Dec 52012 Dec 7

Publication series

NameKey Engineering Materials
Volume558
ISSN (Print)1013-9826
ISSN (Electronic)1662-9795

Other

Other4th Asia-Pacific Workshop on Structural Health Monitoring
Country/TerritoryAustralia
CityMelbourne, VIC
Period12/12/512/12/7

Keywords

  • ARMAX
  • Damage detection
  • Shear structure
  • Sub-time series
  • Substructure
  • System identification

ASJC Scopus subject areas

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

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