Rayleigh wave modeling: A study of dispersion curve sensitivity and methodology for calculating an initial model to be included in an inversion algorithm

Lucena, Rodrigo F.; Taioli, Fabio

doi:10.1016/j.jappgeo.2014.07.007

Cited by 7 publications

(3 citation statements)

References 15 publications

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“…A schematic overview of the inversion strategy is provided in Figure 2. The shear wave velocity has a dominant effect on the fundamental mode dispersion curve at frequencies higher than 5 Hz, followed by layer thicknesses [50], while variations in other material properties have much less effect [1,51]. Thus, the focus is on inversion of the elements of V S and h. Hence, the number of unknown model parameters (given a fixed value of n) is reduced from 4n + 3 to 2n + 1.…”

Section: Methodsmentioning

confidence: 99%

“…The initial shear wave velocity value for each layer is obtained by mapping the experimental dispersion curve into approximate values of V S . Subsequently, the pseudo-shear wave velocity profile is discretized to match the previously assumed layer structure following a method comparable to the schemes adopted by Xia et al [50] and de Lucena and Taioli [51], i.e., V S,1 = a•V R,λmin for the top − most soil layer ( j = 1)…”

Section: Methodsmentioning

confidence: 99%

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Open-Source MASW Inversion Tool Aimed at Shear Wave Velocity Profiling for Soil Site Explorations

2020

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The shear wave velocity profile is of primary interest for geological characterization of soil sites and elucidation of near-surface structures. Multichannel Analysis of Surface Waves (MASW) is a seismic exploration method for determination of near-surface shear wave velocity profiles by analyzing Rayleigh wave propagation over a wide range of wavelengths. The inverse problem faced during the application of MASW involves finding one or more layered soil models whose theoretical dispersion curves match the observed dispersion characteristics. A set of open-source MATLAB-based tools for acquiring and analyzing MASW field data, MASWaves, has been under development in recent years. In this paper, a new tool, using an efficient Monte Carlo search technique, is introduced to conduct the inversion analysis in order to provide the shear wave velocity profile. The performance and applicability of the inversion scheme is demonstrated with synthetic datasets and field data acquired at a well-characterized geotechnical research site.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Open-Source MASW Inversion Tool Aimed at Shear Wave Velocity Profiling for Soil Site Explorations

2020

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“…5b shows the normalized sensitivity (∂C R1 /∂C pe )(C pe /C R1 ) of the Rayleigh phase velocity C R1 of the first mode to the dilatational wave velocity C pe of the layers and the halfspace. Dispersion curves are less sensitive to the dilatational wave velocity than to the shear wave velocity, except when Poisson's ratio is low(Xia et al 1999;de Lucena and Taioli 2014). C R1 is thus only sensitive to the dilatational wave velocity C p2 of the second layer, in the narrow frequency band where the dispersion curve makes a steep drop.…”

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confidence: 97%

Sensitivities of the Rayleigh and Love Phase Velocities and Attenuation Coefficients

Verachtert

Lombaert

Degrande

2018

J. Geotech. Geoenviron. Eng.

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In situ characterization of dynamic soil characteristics by means of surface wave tests frequently involves the determination and inversion of dispersion and attenuation curves. The inverse problem is formulated as a non-linear least squares problem minimizing the misfit between theoretical and experimentally obtained dispersion and attenuation curves, which is often solved using gradient based techniques. A new analytical and computationally efficient methodology is presented for the determination of the sensitivities of the Rayleigh and Love phase velocities and attenuation coefficients with respect to the shear wave velocity, the dilatational wave velocity, the material damping ratios in volumetric and shear deformation and the thickness of the layers. The expressions are based on the direct stiffness method for elastodynamic wave propagation. The proposed analytical method requires only a fraction of the calculation cost of the dispersion and attenuation curves. Sensitivities of Rayleigh dispersion and attenuation curves are computed for four soil profiles, including two shallow soil profiles, a very deep profile and an inverse profile with a soft layer trapped in between two stiffer layers. Results obtained with the proposed method are shown to be in perfect correspondence with sensitivities reported in the literature and obtained with a finite difference method.

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Condition Assessment of Building Foundation in Karst Terrain Using both Electrical Resistivity Tomography and Multi-channel Analysis Surface Wave Techniques

2019

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Rayleigh wave modeling: A study of dispersion curve sensitivity and methodology for calculating an initial model to be included in an inversion algorithm

Cited by 7 publications

References 15 publications

Open-Source MASW Inversion Tool Aimed at Shear Wave Velocity Profiling for Soil Site Explorations

Open-Source MASW Inversion Tool Aimed at Shear Wave Velocity Profiling for Soil Site Explorations

Sensitivities of the Rayleigh and Love Phase Velocities and Attenuation Coefficients

Condition Assessment of Building Foundation in Karst Terrain Using both Electrical Resistivity Tomography and Multi-channel Analysis Surface Wave Techniques

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