Recent trends in the modeling and quantification of non-probabilistic uncertainty
This paper gives an overview of recent advances in the field of non-probabilistic uncertainty
quantification. Both techniques for the forward propagation and inverse quantification of …
quantification. Both techniques for the forward propagation and inverse quantification of …
Stability and characterisation of spoil heaps in European surface lignite mines: a state-of-the-art review in light of new data
MS Masoudian, IE Zevgolis, AV Deliveris… - Environmental Earth …, 2019 - Springer
The large amount of spoil material produced during the mining process imposes a
significant economic and environmental liability on lignite producers. In this context, the …
significant economic and environmental liability on lignite producers. In this context, the …
Slope stability machine learning predictions on spatially variable random fields with and without factor of safety calculations
Abstract Random field Monte Carlo (MC) reliability analysis is a robust stochastic method to
determine the probability of failure. This method, however, requires a large number of …
determine the probability of failure. This method, however, requires a large number of …
Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation
Random field theory has been increasingly used in probabilistic geotechnical analyses over
the past few decades, where a random field generator with random field parameters is …
the past few decades, where a random field generator with random field parameters is …
On the use of copulas in geotechnical engineering: A tutorial and state-of-the-art-review
JJ Sepúlveda-García, DA Alvarez - Archives of computational methods in …, 2022 - Springer
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 …
distribution functions; in this way, they model the dependence among random variables …
Subset simulation for efficient slope reliability analysis involving copula-based cross-correlated random fields
This study proposes a subset simulation (SS)-based approach for efficient slope reliability
analysis involving copula-based cross-correlated random fields of cohesion (c) and friction …
analysis involving copula-based cross-correlated random fields of cohesion (c) and friction …
Modeling multivariate cross-correlated geotechnical random fields using vine copulas for slope reliability analysis
Modeling multivariate cross-correlated random fields plays an important role in reliability
analysis of geotechnical systems. The cross-correlation among random fields is commonly …
analysis of geotechnical systems. The cross-correlation among random fields is commonly …
Reliability evaluation of slope considering geological uncertainty and inherent variability of soil parameters
Geological uncertainty is often ignored in slope reliability analysis, even though the inherent
variability of soil parameters is considered. This paper aims to propose a method for slope …
variability of soil parameters is considered. This paper aims to propose a method for slope …
Influence of copula approaches on reliability analysis of slope stability using random adaptive finite element limit analysis
TS Nguyen, S Likitlersuang… - … for Numerical and …, 2022 - Wiley Online Library
Recently, random field copulas have been deployed to characterise the dependent
structures of spatially variable soil parameters. This study expands on this concept by …
structures of spatially variable soil parameters. This study expands on this concept by …
Risk assessment of soil slope failure considering copula-based rotated anisotropy random fields
In natural slopes, apart from isotropic and transversely anisotropic soil fabric, rotated
anisotropic soil fabric is also commonly observed due to deposition and weathering …
anisotropic soil fabric is also commonly observed due to deposition and weathering …