Reason and Condition for Mode Kissing in MASW Method

Gao, Lingli; Xia, Jianghai; Pan, Yudi; Xu, Yixian

doi:10.1007/s00024-015-1208-5

Cited by 50 publications

(17 citation statements)

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“…However, a visually continuous energy peak may shift from one mode to another at some frequencies. This phenomenon is called mode osculation (Boaga et al 2013) or mode kissing , and has recently been observed in a real-world example (Gao et al 2016). Because it is almost impossible to identify the conversion between different modes in a continuous energy peak by using one dispersion image alone, it is recommended to use multi-component data (Ikeda et al 2014;Dal Moro et al 2015 or to jointly use Rayleigh and Love-wave data (Gao et al 2016) to reduce the possibility in the misidentification of surface-wave dispersion curves.…”

Section: Maswmentioning

confidence: 99%

“…Due to the 1D layered model and the plane wave assumptions involved in the forward calculation of surface-wave dispersion curves, however, methods based on dispersion curves fail to work when strong lateral heterogeneity exists, which is regarded as one of the limitations in MASW. Another problem faced with MASW is the difficulty in the correct estimation and identification of multimodal dispersion curves (Zhang and Chan 2003;Boaga et al 2013;Gao et al 2014), especially when encountering low-velocity layers (Tsuji et al 2012;Pan et al 2013a;Mi et al 2018), strong vertical contrasts (De Nil 2005;Renalier et al 2010;Gao et al 2016), and a non-planar free surface Wang et al 2015).…”

Section: Introductionmentioning

confidence: 99%

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High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

2019

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Surface waves are widely used in near-surface geophysics and provide a non-invasive way to determine near-surface structures. By extracting and inverting dispersion curves to obtain local 1D S-wave velocity profiles, multichannel analysis of surface waves (MASW) has been proven as an efficient way to analyze shallow-seismic surface waves. By directly inverting the observed waveforms, full-waveform inversion (FWI) provides another feasible way to use surface waves in reconstructing near-surface structures. This paper provides a state of the art on MASW and shallow-seismic FWI, and a comparison of both methods. A two-parameter numerical test is performed to analyze the nonlinearity of MASW and FWI, including the classical, the multiscale, the envelope-based, and the amplitude-spectrum-based FWI approaches. A checkerboard model is used to compare the resolution of MASW and FWI. These numerical examples show that classical FWI has the highest nonlinearity and resolution among these methods, while MASW has the lowest nonlinearity and resolution. The modified FWI approaches have an intermediate nonlinearity and resolution between classical FWI and MASW. These features suggest that a sequential application of MASW and FWI could provide an efficient hierarchical way to delineate near-surface structures. We apply the sequential-inversion strategy to two field data sets acquired in Olathe, Kansas, USA, and Rheinstetten, Germany, respectively. We build a 1D initial model by using MASW and then apply the multiscale FWI to the data. High-resolution 2D S-wave velocity images are obtained in both cases, whose reliabilities are proven by borehole data and a GPR profile, respectively. It demonstrates the effectiveness of combining MASW and FWI for high-resolution imaging of near-surface structures.

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Section: Maswmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

2019

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“…An inaccurate or erroneous experimental dispersion curve can cause substantial errors in the inverted shear wave velocity profile (Gao et al 2016;Park et al 1999;Zhang and Chan 2003).…”

Section: Challenges Associated With the Dispersion Analysis And Effecmentioning

confidence: 99%

“…However, in reality, surface wave registrations are incomplete to some extent, imposing various challenges when dispersion curves are identified based on a dispersion image. The fundamental mode of Rayleigh wave propagation typically prevails at sites where the stiffness (shear wave velocity) increases gradually with increasing depth (Foti et al 2015;Gao et al 2016;Gucunski and Woods 1991;Tokimatsu et al 1992). However, at sites characterized by a more irregularly varying stiffness profile, e.g., the presence of a stiff surface layer, a stiff layer sandwiched between two softer layers or a sudden increase in stiffness with depth, higher modes can play a significant role in certain frequency ranges.…”

Section: Challenges Associated With the Dispersion Analysis And Effecmentioning

confidence: 99%

“…However, at sites characterized by a more irregularly varying stiffness profile, e.g., the presence of a stiff surface layer, a stiff layer sandwiched between two softer layers or a sudden increase in stiffness with depth, higher modes can play a significant role in certain frequency ranges. In such cases, misidentification of mode numbers or superposition of dispersion data from two (or more) modes can occur (Foti et al 2015;Gao et al 2016;Zhang and Chan 2003). Mode misidentification can, for example, involve a higher mode being incorrectly identified as the fundamental mode, whereas mode superposition results in an apparent dispersion curve that does not correspond to any of the real modes.…”

Section: Challenges Associated With the Dispersion Analysis And Effecmentioning

confidence: 99%

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Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils

2018

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Multichannel analysis of surface waves (MASW) is a fast, low-cost, and environmentally friendly technique to estimate shear wave velocity profiles of soil sites. This paper introduces a new open-source software, MASWaves, for processing and analysing multichannel surface wave records using the MASW method. The software consists of two main parts: a dispersion analysis tool (MASWaves Dispersion) and an inversion analysis tool (MASWaves Inversion). The performance of the dispersion analysis tool is validated by comparison with results obtained by the Geopsy software package. Verification of the inversion analysis tool is carried out by comparison with results obtained by the software WinSASW and theoretical dispersion curves presented in the literature. Results of MASW field tests conducted at three sites in south Iceland are presented to demonstrate the performance and robustness of the new software. The soils at the three test sites ranged from loose sand to cemented silty sand. In addition, at one site, the results of existing spectral analysis of surface waves (SASW) measurements were compared with the results obtained by MASWaves.

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Introduction: A Miscellanea

Moro

2020

Efficient Joint Analysis of Surface Waves and Introduction to Vibration Analysis: Beyond the Clichés

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Reason and Condition for Mode Kissing in MASW Method

Cited by 50 publications

References 16 publications

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

High-Resolution Characterization of Near-Surface Structures by Surface-Wave Inversions: From Dispersion Curve to Full Waveform

Tool for analysis of multichannel analysis of surface waves (MASW) field data and evaluation of shear wave velocity profiles of soils

Introduction: A Miscellanea

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