Development of empirical CPTu-V correlations for post-glacial sediments in Southern Quebec, Canada, in consideration of soil type and geological setting

Salsabili, Mohammad; Saeidi, Ali; Rouleau, Alain; Nastev, Miroslav

doi:10.1016/j.soildyn.2021.107131

Cited by 9 publications

(1 citation statement)

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“…In this case, empirical V s correlations with geotechnical parameters (Mayne and Rix, 1995; Robertson, 2009) or depth (Motazedian et al, 2011; Podestá et al, 2019) are suggested for addressing the scarcity of V s measurements. However, specific depositional environments, such as the presence of soft sensitive clays, which is frequently observed in Eastern Canada (Locat and St- Gelais, 2014; Salsabili et al, 2022), hinder the use of existing global regression equations, potentially resulting in estimation biases (McGann et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic approach for seismic microzonation integrating 3D geological and geotechnical uncertainty

et al. 2022

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A novel probabilistic methodology for regional seismic site characterization is proposed and applied to a region with highly heterogeneous surficial geology and varying soil sediment thickness and stiffness. The method combines various sources of geological and geotechnical uncertainties to develop a three-dimensional (3D) shear-wave velocity ( Vs) model and evaluate the associated uncertainties. A 3D geological model of the unconsolidated deposits was developed using geostatistical interpolation and simulation methods. Sequential indicator simulations produced a quantitative geologic model that explicitly quantified geological uncertainties based on the likelihood of specific soil types occurring. In situ measurements and multivariate statistical analysis allowed the development of empirical correlations between Vs, geotechnical parameters, depth, and soil types. The resulting 3D Vs values were estimated on the basis of Vs-depth correlations and the probability of occurrence of each soil type. In this approach, the propagated uncertainty was also quantified by considering the combined variance. Seismic microzonation mapping was then conducted by transforming the 3D Vs model into two-dimensional (2D) maps that represent the spatial distributions of the time-averaged shear-wave velocity of the top 30 m ( Vs,30) and the fundamental site period ( T0), along with their respective uncertainties using Monte Carlo simulations. The results indicate that microzonation maps and their uncertainties are influenced by the thickness, occurrence probability, and geotechnical properties of soils. The proposed method can be used to assess the probabilistic seismic risk at local and regional scales in areas with geologically and geotechnically complex soil properties.

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