CPT-Based probabilistic characterization of three-dimensional spatial variability using MLE

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Slope stability analysis based on the Coupled Eulerian-Lagrangian finite element method (2018, background): “Hence, the evaluated factors of safety (FOS) of the slope are subjected to numerical errors and uncertainties (Cárdenas 2018; Zhang et al. 2017; Xiao et al. 2016a, 2018).”
Bayesian identification of soil stratigraphy based on soil behaviour type index (2019, methodology): “Here, the correlation function of lnIc is taken as a single exponential correlation function that is frequently used in geotechnical analysis (e.g., Fenton, 1999a, b; Phoon et al. 2003, 2004; Uzielli et al. 2005; Li et al. 2014; Qi and Li, 2018; Xiao et al. 2018).”
Quasi-site-specific multivariate probability distribution model for sparse, incomplete, and three-dimensional spatially varying soil data (2021, methodology): “This issue of computational cost can be significantly alleviated if the CPT data follow a lattice structure (e.g. Xiao et al. 2018; Ching et al. 2020).”