1887

Abstract

Summary

Surface wave methods have attracted a lot of geophysicists’ attention for the purpose of monitoring civil engineering structures, because they represent the most energetic part of the seismic signal, and contain information on shallow media. In order to infer the mechanical properties of the medium as a function of depth, an inverse procedure is required that minimizes a misfit function between observed and modeled data. However, a small change of model parameters can have low effects on observed surface waves data. This study focuses on the inversion of phase velocity dispersion curves of two-layer media with small to moderate variations of shear velocities. We use a simple two-layer model, where the shear velocity and thickness of the top layer are respectively 600 m/s and 8 m, and the shear velocity of bottom layer is 1100 m/s. Results show that it is difficult to distinguish inversion results when variation of shear velocity of the shallower layer is lower than 2%, and 10% for the deeper layer in our study case. These results emphasize the difficulty of estimating small to moderate evolution of medium, especially for deeper layers.

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/content/papers/10.3997/2214-4609.201802492
2018-09-09
2024-04-26
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References

  1. Joubert, A., Le Feuvre, M. and Côte, P.
    [2017] Monitoring of the Tidal Response of a Sea Dike Using Sea Waves as Seismic Noise. In 24th European Meeting of Environmental and Engineering Geophysics, 3–7.
    [Google Scholar]
  2. O’Neill, A.
    [2004] Shear velocity model appraisal in shallow surface wave inversion. ISC-2 on Geotechnical and Geophysical Site Characterization, 539–546.
    [Google Scholar]
  3. Planès, T., Rittgers, J.B., Mooney, M.A., Kanning, W. and Draganov, D.
    [2017] Monitoring the tidal response of a sea levee with ambient seismic noise. Journal of Applied Geophysics, 138, 255–263.
    [Google Scholar]
  4. Sambridge, M.
    [1999] Geophysical inversion with a neighbourhood algorithm-II. Appraising the ensemble. Geophysical Journal International, 138 (December), 727–746.
    [Google Scholar]
  5. Takeuchi, H. and Saito, M.
    [1972] Seismic Surface Waves, 11. ACADEMIC PRESS, INC.
    [Google Scholar]
  6. Wathelet, M.
    [2008] An improved neighborhood algorithm: Parameter conditions and dynamic scaling. Geophysical Research Letters, 35(9), 1–5.
    [Google Scholar]
  7. Wathelet, M., Jongmans, D. and Ohrnberger, M.
    [2004] Surface-wave inversion using a direct search algorithm and its application to ambient vibration measurements. Near Surface Geophysics, 2(4), 211–221.
    [Google Scholar]
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