A new misfit function for multimodal inversion of surface waves

Maraschini, Margherita; Ernst, Fabian; Foti, Sebastiano; Socco, Laura

doi:10.1190/1.3436539

Cited by 127 publications

(69 citation statements)

References 35 publications

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“…The experimental dispersion curve was inverted with the Monte Carlo approach proposed by Maraschini and Foti (2010). The inversion code used for the inversion does not need an a-priori assignment of mode number to the dispersion curve branch, avoiding arbitrary choices.…”

Section: Notomentioning

confidence: 99%

“…-use of global search algorithms, which are more robust because they mitigate problems related to local minima of the cost function and allow uncertainties associated to nonuniqueness of the solution to be assessed; -adoption of multimodal approaches, as taking into account higher modes besides the fundamental one increases investigation depth (Tokimatsu et al 1992;Xia et al 2006;Parolai et al 2006;Maraschini et al 2010), stabilizes the inversion process , enhances the resolution in Vs of the inverted model Xia et al 2006), and generally increases the sensitivity on model parameters (Socco and Strobbia 2004) thus providing more accurate results (Maraschini et al 2010); -joint inversion of dispersion curve and HVSR curve (Nakamura 1989), where the latter was available, to improve the reliability of the solution with additional constraints Picozzi et al 2005;Picozzi and Albarello 2007).…”

Section: Introductionmentioning

confidence: 99%

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Surface wave surveys for seismic site characterization of accelerometric stations in ITACA

Foti

Parolai

Bergamo

et al. 2011

Bull Earthquake Eng

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This paper reports on site characterization for a set of accelerometric stations of the RAN (Italian accelerometric network) with specific attention to the shear wave velocity profile. The latter is indeed of primary importance for the usability of the accelerometric database. Surface wave analysis has been chosen as the primary investigation method since it offers the possibility of reaching the required accuracy with reasonable costs. A range of different techniques, both of the active-source and passive-source types, has been adopted to cope with the objectives of the characterization in relation to specific geological settings. Quality assessment of experimental data has been implemented to check the consistency of the measurements also with respect to the fundamental hypotheses of the method. Strategies to improve the reliability and robustness of the surface wave data inversion were exploited in order to mitigate problems arising from solution non-uniqueness and influence of higher modes in the propagation. Comparisons with independent borehole tests, available at some specific sites, confirm the reliability of the results. Although the research program covered only a subset of the network, the obtained results show the importance of specific experimental investigations aimed at estimating the shear wave velocity profile. Indeed the results lead to a re-classification of several sites with respect to the preliminary classification based on surface geology. Within this context, four selected case histories are reported in the present paper.

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Section: Notomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Surface wave surveys for seismic site characterization of accelerometric stations in ITACA

Foti

Parolai

Bergamo

et al. 2011

Bull Earthquake Eng

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“…To obtain the wave velocity map, an on-site surface wave method has been proposed to involve multiple geophones to acquire the ground motion signals for the benefit of non-intrusive testing, effectiveness, and reliable data. The multiple channel data will be analyzed by interpretation algorithms (such as, the two-receiver spectral analysis of surface wave (SASW) method [11] and the multichannel analysis of surface waves (MASW) method [12,13], etc.) to achieve an experimental multimode dispersive image.…”

Section: Introductionmentioning

confidence: 99%

Accurate Sparse Recovery of Rayleigh Wave Characteristics Using Fast Analysis of Wave Speed (FAWS) Algorithm for Soft Soil Layers

et al. 2018

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This paper presents a novel fast analysis of wave speed (FAWS) algorithm from the waveforms recorded by a random-spaced geophone array based on a compressive sensing (CS) platform. Rayleigh-type seismic surface wave testing is excited by a hammer source and conducted to develop the phase velocity characteristics of the subsoil layers in Shenyang Metro line 9. Data are filtered by a bandpass filter bank to pursue the dispersive profiles of phase velocity at various frequencies. The Rayleigh-type surface-wave dispersion curve for the soil layers at each frequency is conducted by the 1 -norm minimization algorithm of CS theory. The traditional frequency-wavenumber transform technique and in-site downhole observation are employed as the comparison of the proposed technique. The experimental results indicate the proposed FAWS algorithm has a good agreement with both the results of conventional even-spaced geophone array and the in-site measurements, which provides an effective and efficient way for accurate non-destructive evaluation of the surface wave dispersion curve of the soil.

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“…To invert for the model parameters, we adopt the misfit functional from Maraschini et al (2010), which…”

Section: Real Data Picking and Inversionmentioning

confidence: 99%

Estimating a Continuous P-wave Velocity Profile with Constant Squared-slowness Gradient Models from Seismic Field Data

Ponomarenko

Kashtan

Troyan

et al. 2015

Near Surface Geoscience 2015 - 21st European Meeting of Environmental and Engineering Geophysics

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SUMMARYWe inverted seismic field data for a continuous, laterally invariant P-wave velocity profile. Instead of the usual approach that involves horizontal layers with piecewise constant densities and velocities, we consider models of one or two layers with a constant gradient of the squared slowness above a homogeneous halfspace. With a single layer above a halfspace, there are three parameters. With two layers, there are five. We solve the inverse problem by a direct grid search over a wide range of parameters. The results were compared to that of a piecewise-constant multi-layer inversion result. In the single-layer case, either the shallow or the deeper part of the model would match the multi-layer case, depending on which modes of the surface waves were selected. With two layers, a considerably better agreement is obtained over a larger depth range. Our method is limited to cases with a small Vs/Vp-ratio but has only 5 parameters. It could be a useful alternative to piecewise-constant multi-layer inversion, in particular if continuous P-velocity profiles are sought. These are sometimes better suited as a starting model for full waveform inversion than models with many discontinuities.

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A new misfit function for multimodal inversion of surface waves

Cited by 127 publications

References 35 publications

Surface wave surveys for seismic site characterization of accelerometric stations in ITACA

Surface wave surveys for seismic site characterization of accelerometric stations in ITACA

Accurate Sparse Recovery of Rayleigh Wave Characteristics Using Fast Analysis of Wave Speed (FAWS) Algorithm for Soft Soil Layers

Estimating a Continuous P-wave Velocity Profile with Constant Squared-slowness Gradient Models from Seismic Field Data

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