Surface Wave Methods for Near-Surface Site Characterization

Foti, Sebastiano; Lai, Carlo G.; Rix, Glenn J.; Strobbia, Claudio

doi:10.1201/b17268

Cited by 222 publications

(175 citation statements)

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“…Although not yet fully included in the state of the practice, surface wave attenuation can be exploited to obtain damping parameters (Foti et al 2014). Appendix 10 reports on possible options for this application.…”

Section: Ground Response Analysismentioning

confidence: 99%

See 1 more Smart Citation

Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project

Foti

Hollender

Garofalo

et al. 2017

Bull Earthquake Eng

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413

202

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Surface wave methods gained in the past decades a primary role in many seismic projects. Specifically, they are often used to retrieve a 1D shear wave velocity model or to estimate the V S,30 at a site. The complexity of the interpretation process and the variety of possible approaches to surface wave analysis make it very hard to set a fixed standard to assure quality and reliability of the results. The present guidelines provide practical Electronic supplementary material The online version of this article

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Section: Ground Response Analysismentioning

confidence: 99%

“…The Reader is referred to textbooks (e.g. Okada 2003;Foti et al 2014) and to the vast literature on the topic (for an overview, see Bard et al 2010;Socco et al 2010;Foti et al 2011;Schramm et al 2012;Yong et al 2013) for achieving the necessary knowledge on surface wave methods and for the theoretical details.…”

Section: Introductionmentioning

confidence: 99%

Guidelines for the good practice of surface wave analysis: a product of the InterPACIFIC project

Foti

Hollender

Garofalo

et al. 2017

Bull Earthquake Eng

Self Cite

413

202

View full text Add to dashboard Cite

show abstract

“…For the purpose of stacking multiple single-shot data recorded at the same spatial location (Foti et al, 2015), an efficient and precise automatic triggering system was used, which consisted of a starter sensor attached to the hammer head. Synchronization of the recorded seismograms before stacking was further optimized using a control algorithm based on the crosscorrelation of the seismic traces recorded by the receiver closest to the source position (offset ¼ 2 m).…”

Section: Data Acquisitionmentioning

confidence: 99%

Time-lapse monitoring of climate effects on earthworks using surface waves

et al. 2016

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The UK's transportation network is supported by critical geotechnical assets (cuttings/embankments/dams) that require sustainable, cost-effective management, while maintaining an appropriate service level to meet social, economic, and environmental needs. Recent effects of extreme weather on these geotechnical assets have highlighted their vulnerability to climate variations. We have assessed the potential of surface wave data to portray the climate-related variations in mechanical properties of a clay-filled railway embankment. Seismic data were acquired bimonthly from July 2013 to November 2014 along the crest of a heritage railway embankment in southwest England. For each acquisition, the collected data were first processed to obtain a set of Rayleigh-wave dispersion and attenuation curves, referenced to the same spatial locations. These data were then analyzed to identify a coherent trend in their spatial and temporal variability. The relevance of the observed temporal variations was also verified with respect to the experimental data uncertainties. Finally, the surface wave dispersion data sets were inverted to reconstruct a time-lapse model of S-wave velocity for the embankment structure, using a least-squares laterally constrained inversion scheme. A key point of the inversion process was constituted by the estimation of a suitable initial model and the selection of adequate levels of spatial regularization. The initial model and the strength of spatial smoothing were then kept constant throughout the processing of all available data sets to ensure homogeneity of the procedure and comparability among the obtained V S sections. A continuous and coherent temporal pattern of surface wave data, and consequently of the reconstructed V S models, was identified. This pattern is related to the seasonal distribution of precipitation and soil water content measured on site.

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“…W tym kontekście niezbędne staje się modelowanie zachowania się ośrodka gruntowego w złożonych warunkach naprężeń, co wymaga między innymi wyznaczania pełnej charakterystyki sztywności gruntu odniesionej do wartości modułów opisujących zachowanie ośrodka gruntowego w przebiegu charakterystyki ścinania (Lipiński, 2013;Foti, Lai, Rix i Strobbia, 2015). W analizach zachowania gruntu wykorzystuje się termin "sztywność gruntu", rozpatrując jego zachowania w zakresie odkształceń sprężystych (pseudosprężystych), wynikających z naprężeń stycznych, a miarą tego zachowania jest moduł odkształcenia postaciowego (G 0 ).…”

Section: Wprowadzenieunclassified