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Contents
List of Figures
List of Tables
Measuring wave velocity
Ambient vibrations
Frequency-wavenumber method
High resolution method
Spatial auto-correlation method
Artificial sources
refracted waves
refracted waves
Surface wave inversion
Conclusions
The inversion algorithm
Definition
Available methods
Gridding method
Iterative methods
Neural Networks
Monte Carlo methods
The neighbourhood algorithm
Conditional parameter spaces
Conclusions
Forward computation
Dispersion Curves
Propagator-matrix method
Displacements, Stresses, and strains
Eigenvalue problem for Love waves
Eigenvalue problem for Rayleigh waves
A quick root search
Mode jumping control
Misfit
Sensitivity of the dispersion against layer parameters
Conclusion
Ellipticity
Computation
Sensitivity
Misfit
Spatial auto-correlation
Computation
Misfit
Sensitivity
Conclusion
Parameterization of a ground model
Theoretical model used in parameterization tests
Thickness,
, and
Two layers
Three layers
Stack of N layers
Arbitrary profile
inversion without LVZ
Non-uniform layers
Linear variation
Power law variation
Conclusions
Enhanced inversions
Multimodal curves
Rayleigh higher modes
Love and Rayleigh
Higher mode identification
Spatial auto-correlation
Uniqueness of auto-correlation curves
Synthetic model
Validation of auto-correlations
Inversion
Ellipticity inversion
Test cases
Synthetic ambient vibrations
Model description
Single source wavefield
Frequency-wavenumber method
High resolution method
Spatial auto-correlation method
Discussion and Conclusions
Liège site
The test site
Ambient vibrations recording
Frequency-wavenumber method
High resolution method
Spatial auto-correlation method
Conclusions
Sub-determinants of
Generating increasing velocity profiles
Selection method
Sorting method
Velocity-jump method
Interpolation method
Interpolation method with random start
Bissection method
Diagonal method
Including Poisson's ratio
Conclusions
Bibliography
2007-03-15