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Structural Health Monitoring of Bridges Via Energy Harvesting Sensor Nodes

Auteur(s):




Médium: article de revue
Langue(s): en 
Publié dans: The Open Construction and Building Technology Journal, , n. 1, v. 10
Page(s): 136-149
DOI: 10.2174/1874836801610010136
Abstrait:

This paper deals with the application of novel sensing technologies to an existing Structural Health Monitoring (SHM) system for bridges. A vibration based SHM algorithm already in use to detect the structural performance degradation of a suspension highway bridge is modified to investigate the feasibility of replacing traditional wired accelerometers with state of the art wireless energy-harvesting sensors. The remodeled SHM algorithm benefits from the sensor nodes’ ability to support automated triggering and data pre-processing. The Random Decrement technique was included in the algorithm as a pre-processing tool to simultaneously reduce noise and amount of stored and transmitted data. Simulations based on available data were used to calibrate the triggering strategy, to verify the effectiveness of the data pre-processing, and to demonstrate power consumption improvements arising from the algorithm modification.

Copyright: © 2016 N. Bonessio, P. Zappi, G. Benzoni, T. Simunic Rosing, G. Lomiento
License:

Cette oeuvre a été publiée sous la license Creative Commons Attribution 4.0 (CC-BY 4.0). Il est autorisé de partager et adapter l'oeuvre tant que l'auteur est crédité et la license est indiquée (avec le lien ci-dessus). Vous devez aussi indiquer si des changements on été fait vis-à-vis de l'original.

Publicité

  • Informations
    sur cette fiche
  • Reference-ID
    10381274
  • Publié(e) le:
    22.11.2019
  • Modifié(e) le:
    22.11.2019