Road and soil dynamic characterization from surface measurements

Non-destructive, in-situ methods for characterizing existing infrastructures require the ability to detect structural damage and features such as cracking and discontinuities. The proper assessment of the location and of the extension of such discontinuities is crucial for the determination of the level of deterioration of an infrastructure and for planning the maintenance interventions. This thesis describes new signal processing methods and the novel application of existing methods to tackle the problems that hinder the non-destructive surface wave methods. The spectral convolution method proposed in this thesis, based on the simultaneous exploitation of the vertical and the horizontal components of a seismic event, improved the resolution and the overall accuracy of the spectral image in the frequency-wavenumber (f-k) domain. Hence, it led to more accurate seismic inversion by reducing the amount of uncertainty coming from a seismic survey. This research investigated the use of this new proposed method in soils and asphalts for the measurement of surface wave dispersion through conceptual analysis and numerical investigation alongside experimental investigation on soil and asphalt. The results coming from numerical simulations and experimental investigations showed the effectiveness of the wave decomposition method for the assessment of the location and of the depth of surface-breaking cracks in the half-space and in layered systems. Contrary to other techniques, it was able to cope with the heterogeneities and the dispersive nature of layered system, thus making possible to detect and assess the depth of surface-breaking cracks in roads.

Media Info

  • Pagination: 231p

Subject/Index Terms

Filing Info

  • Accession Number: 01660763
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ATRI
  • Created Date: Feb 20 2018 10:43AM