Two-Stage covariance-based multisensing damage detection method

J. F. Lin, You Lin Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Different types of sensors in a structural health monitoring (SHM) system installed in a structure enable various types of structural responses to be measured. However, their distinct properties and limitations considerably complicate multisensing structural condition assessment. As a result, the information from these sensors is often used separately, and the potential advantage of multisensing information has not been used effectively. This paper first proposes a covariance-based multisensing (CBMS) damage detection method in the time domain in terms of a CBMS vector as a new damage index and a sensitivity study for damage detection. The proposed method has the merit of assimilating heterogeneous data and reducing the adverse effect of measurement noise. The CBMS damage detection method is then used in two stages for detecting damage location and severity consecutively. Numerical studies are finally performed to investigate the feasibility and accuracy of the proposed framework using an overhanging beam with two damage scenarios. The results show that the two-stage CBMS damage detection method improves the accuracy of damage detection and that the proposed method can be effectively used to combine multisensing information for better damage detection.
Original languageEnglish
Article numberB4016003
JournalJournal of Engineering Mechanics
Volume143
Issue number3
DOIs
Publication statusPublished - 1 Mar 2017

Keywords

  • Cross-covariance
  • Damage detection
  • Multisensing
  • New damage index
  • Sensitivity analysis; Regularization
  • Two-stage approach

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

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