0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Damage Assessment using Generalized State-Space Correlation Features

Autor(en):

Medium: Fachartikel
Sprache(n): Englisch
Veröffentlicht in: Structural Health Monitoring, , n. 4, v. 7
Seite(n): 347-363
DOI: 10.1177/1475921708090568
Abstrakt:

Recently, damage detection capability has been demonstrated successfully using state-space based algorithms. These methods are advantageous because they rely on data-driven techniques that do not conform to models or assumptions like linearity. State-space-based features traditionally involve comparisons between measurements taken at the same location but at different times to determine if a change has taken place. However, if features such as state-space cross-prediction error and generalized interdependence are formulated such that they instead employ comparisons between simultaneous measurements at different locations, a fuller assessment of structural damage is possible. In addition to the presence of damage, other characteristics such as the extent, location, and type of damage can be revealed from these features. This approach is validated through a multi-degree-of-freedom oscillator and an experimental frame structure.

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1177/1475921708090568.
  • Über diese
    Datenseite
  • Reference-ID
    10561598
  • Veröffentlicht am:
    11.02.2021
  • Geändert am:
    19.02.2021
 
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine