[HTML][HTML] Geotechnical uncertainty, modeling, and decision making
Modeling only constitutes one aspect of decision making. The prevailing limitation of
applying modeling to practice is the absence of explicit consideration of uncertainties. This …
applying modeling to practice is the absence of explicit consideration of uncertainties. This …
Advances in Gaussian random field generation: a review
Gaussian (normal) distribution is a basic continuous probability distribution in statistics, it
plays a substantial role in scientific and engineering problems that related to stochastic …
plays a substantial role in scientific and engineering problems that related to stochastic …
[图书][B] Reliability and statistics in geotechnical engineering
GB Baecher, JT Christian - 2005 - books.google.com
Risk and reliability analysis is an area of growing importance in geotechnical engineering,
where many variables have to be considered. Statistics, reliability modeling and engineering …
where many variables have to be considered. Statistics, reliability modeling and engineering …
Bayesian perspective on geotechnical variability and site characterization
Geotechnical characterization of a project site for engineering applications is indispensable
in engineering geology and geotechnical engineering, and there are many unavoidable …
in engineering geology and geotechnical engineering, and there are many unavoidable …
[HTML][HTML] Interpreting random fields through the U-Net architecture for failure mechanism and deformation predictions of geosystems
The representation of spatial variation of soil properties in the form of random fields permits
advanced probabilistic assessment of slope stability. In many studies, the safety margin of …
advanced probabilistic assessment of slope stability. In many studies, the safety margin of …
Three-dimensional probabilistic foundation settlement
GA Fenton, DV Griffiths - Journal of geotechnical and …, 2005 - ascelibrary.org
By modeling soil as a three-dimensional spatially random medium, the reliability of shallow
foundations against serviceability limit state failure, in the form of excessive settlement …
foundations against serviceability limit state failure, in the form of excessive settlement …
Simulation of non-stationary non-Gaussian random fields from sparse measurements using Bayesian compressive sampling and Karhunen-Loève expansion
The first step to simulate random fields in practice is usually to obtain or estimate random
field parameters, such as mean, standard deviation, correlation function, among others …
field parameters, such as mean, standard deviation, correlation function, among others …
Characterization of autocovariance parameters of detrended cone tip resistance from a global CPT database
This paper compiles a cone penetration test (CPT) database, named Global-CPT/3/1196. It
contains three CPT parameters (cone tip resistance, sleeve friction, and porewater pressure) …
contains three CPT parameters (cone tip resistance, sleeve friction, and porewater pressure) …
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 …
Simulation of random fields with trend from sparse measurements without detrending
Although spatially varying quantities in real life (eg, mechanical properties of soils) often
contain a linear or nonlinear trend, stationary random fields with zero trend are often used to …
contain a linear or nonlinear trend, stationary random fields with zero trend are often used to …