Experimental study on impact-induced damage detection using an improved extended kalman filter

Ying Lei, Zhilu Lai, Songye Zhu, Xiao Hua Zhang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

This paper presents an experimental study on using an improved extended Kalman filter (EKF) to identify impact-induced structural damage. By introducing the optimization of estimated residual error into the classical EKF, this real-time approach demonstrates an excellent capability to identify the abrupt changes of structural parameters instantly and accurately. The optimization procedure is activated when a prescribed threshold is exceeded. A shaking table test of a three-story steel frame subjected to abrupt damage induced by impact load was conducted to validate the improved EKF approach. The results clearly reveal its improved performance and good anti-noise ability in identifying time-variant structural parameters.
Original languageEnglish
Article number1440007
JournalInternational Journal of Structural Stability and Dynamics
Volume14
Issue number5
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Extended Kalman filter
  • impact-induced damage
  • real-time damage detection
  • time-variant system

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Aerospace Engineering
  • Ocean Engineering
  • Mechanical Engineering
  • Applied Mathematics

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