Copulas are functions that couple marginal distribution in order to generate joint probability
distribution functions; in this way, they model the dependence among random variables …

Geotechnical parameters are often considered to be independent variables in the reliability
analysis of slopes, however, some variables are correlated. In this study, the copula-based …

Based on limited amount of multivariate soil data Y, it is only possible to reliably estimate the
marginal distributions and the correlations. A common practical approach of constructing the …

Geotechnical data are typically Multivariate, Uncertain, and Irregular (MUI), so the probability
distribution of geotechnical data is Multivariate, Asymmetric, and Multimodal (MAM) …

Proppants play an important role in propping fractures open after pumping ceases during
horizontal drilling and hydraulic fracturing. However, some proppant degradation …

In the structural earthquake engineering, a single parameter is often not sufficient enough to
depict the severity of ground motions, and it is thus necessary to use multiple ones. In this …

Correlation among variables must be considered to accurately reflect the level of structure
reliability. This problem has referential value to engineering practice and has attracted …

This study mainly establishes a novel intelligent assessment model for peak shear strength
of rock joints based on the relevance vector machine (RVM). RVM is a state‐of‐the‐art soft …

The estimation of the cross‐correlation of shear strength parameters (ie, cohesion and
internal friction angle) and the subsequent determination of the probability of failure have …

Shear strength of the loess joint has significant influence on the stability of loess engineering
with joints.“Joint” is the weak structural plane of loess, and its shear strength determines the …