MITICA Experimental Testing: Instrumentation and Signal Processing Using the Fast Hammer Impact Testing Method

This report presents the instrumentation and experimental modal testing applied on the bridge-like structural specimen of the exploratory research project MITICA (MonItoring Transport Infrastructures with Connected and Automated vehicle). The undertaken experimental testing relies on the Fast Hammer Impact Testing (FHIT) method, i.e., a Multi-Input-Single-Output approach that is based on the acquisition of structural response signals at a given location due to the application of hammer impulse excitation forces onto the structure that follow a relative dense mesh. For the input/output signal acquisition, two different networks were employed and comparatively assessed, i.e., a wired and a wireless network. Prior to the identification of the inherent dynamic/modal properties of the structure, it was deemed essential to (i) fine-tune the sampling parameters of the wireless transducers that are to be used at the MITICA drive-by monitoring campaign; and (ii) comparatively assess the quality of the acquired data originating from wired and wireless sensors as well as smartphone data. This report aims to address the above two aspects that will form the basis of the pre-processing operations required for the structural modal identification of the MITICA structural specimen.

  • Record URL:
  • Availability:
  • Supplemental Notes:
    • © European Union, 2021. Publication date on the EU website is 2021-10-05.
  • Corporate Authors:

    Joint Research Centre (European Commission)

    ,    
  • Authors:
    • Gkoktsi, Kyriaki
    • Tirelli, Daniel
    • Bono, Flavio
    • Huguet, Mélissandre
    • Renaldi, Graziano
    • Vaglica, Giovanni
  • Publication Date: 2021

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; Photos; References; Tables;
  • Pagination: 100p

Subject/Index Terms

Filing Info

  • Accession Number: 01786758
  • Record Type: Publication
  • ISBN: 9789276380153
  • Report/Paper Numbers: JRC123546, EUR 30717 EN
  • Files: TRIS
  • Created Date: Oct 29 2021 12:20PM