Structural Damage Detection under Environmental and Operational Variability: An Exploration of Two New Vibration-based Schemes

Bilal Ali Qadri

Research output: Book/ReportPh.D. thesisResearch

Abstract

The objective of structural health monitoring (SHM) is to ascertain if a structure is damaged or not based on measured data. Numerous approaches to detect damage have been put forth, such as those based on physical modelling or data-driven methodologies. The prerequisite for using data-driven methods is that damage is known to alter the dynamic properties, such as, stiffness, mass or energy dissipation of a structure which will directly alter the dynamic response. However, structures are in realistic scenarios subject to environmental and operational variabilities that potentially camouflage damage-induced changes in the dynamic response, hence leading to poor damage detectability. This thesis proposes two new vibration-based schemes which deals with the issues associated with environmental and operational variabilities. The result of this thesis exemplify the importance of considering the variabilities in a damage detection scheme in order to increase the structural reliability.
Original languageEnglish
Publication statusPublished - 2020
SeriesPh.d.-serien for Det Ingeniør- og Naturvidenskabelige Fakultet, Aalborg Universitet
ISSN2446-1636

Bibliographical note

Dissertation not published.

Keywords

  • structural health monitoring
  • vibration-based structural health monitoring
  • damage detection
  • environmental and operational variability
  • closed-loop
  • open-loop
  • output feedback
  • cointegration
  • artificial neural network
  • pca
  • eigenstructure assignment
  • wind turbine blades
  • accelerometer
  • vibration
  • big data

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