Rayleigh wave dispersion curves from seismological and engineering-geotechnical methods: a comparison at the Bornheim test site (Germany)

Richwalski, Sandra M.; Picozzi, Matteo; Parolai, Stefano; Milkereit, Claus; Baliva, Francesco; Albarello, Dario; Roy‐Chowdhury, K.; Meer, Henk van der; Zschau, Jochen

doi:10.1088/1742-2132/4/4/001

Cited by 34 publications

(23 citation statements)

References 24 publications

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“…For each analysed frequency, the phase velocity estimated from the median and the uncertainty interval defined by the inter-quartile range are compared in Figure 11 to the normalized dispersion spectrum calculated by MASW [22]. There is a very good agreement between the phase velocities estimated by CASW and the maxima in the dispersion spectrum of MASW.…”

Section: A Real-world Examplementioning

confidence: 80%

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Determination of dispersive phase velocities by complex seismic trace analysis of surface waves (CASW)

Parolai

2009

Soil Dynamics and Earthquake Engineering

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A method for deriving experimental dispersion curves of surface waves from active source recordings is presented. The method is based on the Complex seismic trace Analysis of Surface Waves (CASW) and is applicable when only two receivers are available.Reliable phase velocities are obtained when keeping the geophone interval smaller than one λ, allowing both a velocity structure as local as possible to be derived and to avoid long geophone spreads which are difficult to handle in urban areas. A large number of velocity estimates for each frequency can be estimated, even when using only 2 sensors, allowing statistical validation of the results, and providing a statistically defined uncertainty interval to be used in the dispersion curve inversion. The method is tested using synthetic seismograms and applied to real-world data, showing that it provides reliable estimates of apparent phase velocities. Although a final conclusion cannot yet be drawn, its application to observed data suggests it has the potential to be a useful method for distinguishing different modes.

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Section: A Real-world Examplementioning

confidence: 80%

“…A 48-trace data set was collected at a test-site in Bornheim (Germany) (Figure 7, left), with the original aim of comparing the results obtained by standard techniques such as SASW, MASW and ReMi [22]. Vertical geophones with a resonant frequency of 10 Hz were used.…”

Section: A Real-world Examplementioning

confidence: 99%

Determination of dispersive phase velocities by complex seismic trace analysis of surface waves (CASW)

Parolai

2009

Soil Dynamics and Earthquake Engineering

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“…The proposed method has also been applied on real seismograms recorded by a linear array of geophones, which were deployed in the city of Bonn (Germany) in October 2003 (Richwalski et al, 2007). An active experiment was carried out with a controlled source.…”

Section: Application To Real Seismogramsmentioning

confidence: 99%

“…Due to the subsoil structure, their velocity and polarization properties have a high dependence on the frequency and mode of propagation (Shieh and Herrmann, 1990). The estimation of the frequency-dependent velocities (dispersion curves) is therefore a crucial point when conducting site effect assessments by ambient vibrations Ohrnberger et al, 2003;Parolai et al, 2006;Richwalski et al, 2007). Vidale (1986), René et al (1986) and Li and Crampin (1991) proposed different time-domain methods based on complex trace analysis (CTA) and defined the instantaneous polarization attributes for the Rayleigh and shear-wave identification.…”

Section: Introductionmentioning

confidence: 99%

Seismic wave characterization using complex trace analysis in the stationary wavelet packet domain

Galiana-Merino

Parolai

Rosa-Herranz

2011

Soil Dynamics and Earthquake Engineering

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One of the most important tasks in seismology and applied geophysics is the identification of the different kinds of waves that form a seismic record by means of polarization analysis. In particular, this involves the extraction of body waves (linear polarization) or surface waves (mostly elliptical polarization) from a set of seismic data and which forms a key point in several studies.In this work, a new method of time-frequency polarization analysis based on the stationary wavelet packet transform is developed. The proposed approach identifies and extracts automatically the different waves included in the signal, dependent upon the reciprocal ellipticity. Moreover, the algorithm provides enough information to the user to allow them to also manually select the reciprocal ellipticity intervals, and then extract the corresponding waves of interest contained in the signals.The proposed polarization estimation method and the automatic features extraction algorithm have been evaluated first using synthetic signals, and then applied to real seismic records. Based on the results obtained from both synthetic and real signals, we can conclude that the proposed method correctly identifies and extracts automatically the linearly and ellipticaly polarized waves from the signal, discerning clearly both types of polarization. Moreover, the proposed method is able to identify and extract signals with different kinds of elliptical polarization, allowing us to understand better the characteristics of Rayleigh waves.Index Terms -Polarization analysis, wave identification, seismic signal processing, stationary wavelet packet transform (SWPT).3

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“…(3) Richwalski et al [41] used MASW, in parallel with four other popular geophysical techniques, for the estimation of the local site effects in Germany and achieved consistent results from the dispersion curves of the Rayleigh wave.…”

Section: Masw Case Studiesmentioning

confidence: 99%

On the Efficiency of the Multi-Channel Analysis of Surface Wave Method for Shallow and Semi-Deep Loose Soil Layers

Banab

Motazedian²

2010

International Journal of Geophysics

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The multi-channel analysis of surface waves (MASWs) method was used to obtain the shear wave velocity variations through near surface (depth < 30 m) and semideep (30 m < depth < 100 m) soil layers in the city of Ottawa, Canada. Sixteen sites were examined to evaluate the capability of the active and passive MASW methods for cases where the shear wave velocity (V s ) contrast between very loose soil (V s < 200 m/s) and very firm bedrock (V s > 2,300 m/s) is very large. The MASW velocity results compared with those of other geophysical approaches, such as seismic reflection/refraction methods and borehole data, where available, mostly confirming the capability of the MASW method to distinguish the high shear wave velocity contrast in the study area. We have found that, of the inversion procedures of MASW data, the random search inversion technique provides better results than the analytical generalized inversion method.

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Rayleigh wave dispersion curves from seismological and engineering-geotechnical methods: a comparison at the Bornheim test site (Germany)

Cited by 34 publications

References 24 publications

Determination of dispersive phase velocities by complex seismic trace analysis of surface waves (CASW)

Determination of dispersive phase velocities by complex seismic trace analysis of surface waves (CASW)

Seismic wave characterization using complex trace analysis in the stationary wavelet packet domain

On the Efficiency of the Multi-Channel Analysis of Surface Wave Method for Shallow and Semi-Deep Loose Soil Layers

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