1887

Abstract

Summary

Surface wave dispersion analysis is a suitable tool for near-surface seismic characterization; however, the main problem arises from the non-unique nature of the dispersion curve inversion. For inversion of surface wave datasets different nonlinear inversion algorithms are proposed. These algorithms efficiency were proved by different case studies. Recently, the bat algorithm (BA) as a nature-inspired algorithm is introduced for optimization problems in engineering. The bat algorithm is a very promising alternative for inversion of dispersion curve. In this study, capability of the bat algorithm investigated to estimate of Vs profile. First the bat algorithm was written and processed in Matlab and then the efficiency of the algorithm evaluated by inversion of broadband synthetic dispersion curves from a simple model. Also for more investigation the ability of proposed algorithm, the search space extended and also noise was added to synthetic data. Moreover finally a limited frequency (2–8Hz) synthetic dataset was inverted. Results demonstrated that the bat algorithm is a new metaheuristic technique in analysis of surface wave data.

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/content/papers/10.3997/2214-4609.201702112
2017-09-03
2024-03-28
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References

  1. 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, 211–221.
    [Google Scholar]
  2. Yang, X.S.
    [2010] A new metaheuristic bat-inspired algorithm, in: González, J., Pelta, D., Cruz, C., Terrazas, G. and Krasnogor, N. (Eds.) Nature Inspired Cooperative Strategies, 284, 65–74.
    [Google Scholar]
  3. Herrmann, R.B.
    [1987] Computer programs in seismology: user’s manual II: St Louis University (Missouri, USA).
    [Google Scholar]
  4. Fister, I.A
    [2013]. Comprehensive review of bat algorithms and their hybridization. Masters thesis, University of Maribor, Slovenia.
    [Google Scholar]
  5. Poormirzaee, R.
    [2016] MOPSO: a new computing algorithm for joint inversion of Rayleigh wave dispersion curve and refraction traveltimes. Journal of exploration geophysics, DOI: 10.1071/EG16044
    https://doi.org/10.1071/EG16044 [Google Scholar]
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