Generalised parametric functions and spatial correlations for seismic velocities in the Canterbury, New Zealand region from surface-wave-based site characterisation
This paper presents the development of depth- and Vs30-dependent parametric velocity and spatial correlation models to characterise shear-wave velocities within the geologic layers of the Canterbury New Zealand sedimentary basin. The models utilise data from 22 shear-wave velocity profiles of up to...
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Veröffentlicht in: | Soil dynamics and earthquake engineering (1984) 2020-01, Vol.128, p.105834, Article 105834 |
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Sprache: | eng |
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Zusammenfassung: | This paper presents the development of depth- and Vs30-dependent parametric velocity and spatial correlation models to characterise shear-wave velocities within the geologic layers of the Canterbury New Zealand sedimentary basin. The models utilise data from 22 shear-wave velocity profiles of up to 2.5km depth, derived from surface wave analysis, juxtaposed with models which detail the three-dimensional structure of the geologic formations in the Canterbury sedimentary basin. Parametric velocity equations are presented for Fine Grained Sediments, Gravels, and Tertiary layer groupings. Spatial correlations were developed and applied to generate three-dimensional stochastic velocity perturbations. Dispersion curves for the stochastic models and observed velocity profiles show good agreement over a wide frequency range with the dispersion data underlying the velocity profiles used as input data, indicating that the parametric perturbed velocity profiles replicate the dispersion characteristics of the observed velocity profiles. Collectively, these models enable seismic velocities to be realistically represented for applications such as 3D ground motion and site response simulations.
•Parametric functions to prescribe velocities in Canterbury sedimentary deposits.•Geostatistics are used to develop spatial correlations to add velocity perturbations to parametric models.•Velocity modelling for use in ground motion and site response simulations. |
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ISSN: | 0267-7261 1879-341X |
DOI: | 10.1016/j.soildyn.2019.105834 |