Spatial variability is one of the major sources of uncertainty in geotechnical applications. This variability is characterized customarily by the scale of fluctuation. Scale of fluctuation …
Describing how soil properties vary spatially is of particular importance in stochastic analyses of geotechnical problems, because spatial variability has a significant influence on …
Y Wang, Z Cao - Engineering Geology, 2013 - Elsevier
Several probability-based design codes (eg, load and resistance factor design (LRFD) codes and Eurocode 7) have been developed and implemented around the world recently …
M Uzielli, S Lacasse, F Nadim… - … properties of natural …, 2007 - api.taylorfrancis.com
The heterogeneity of natural soils is well known in geotechnical practice. However, the importance of quantifying the resulting variability in geotechnical characterisation and …
T Zhao, Y Wang - Reliability Engineering & System Safety, 2020 - Elsevier
With the ever-growing computational power of personal computers over the past few decades, stochastic simulation of spatially varying three-dimensional (3D) quantities has …
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) …
A method of combining 3D Kriging for geotechnical sampling schemes with an existing random field generator is presented and validated. Conditional random fields of soil …
Y Wang, T Zhao, KK Phoon - Canadian Geotechnical Journal, 2018 - cdnsciencepub.com
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 …
This paper is motivated by the Time Capsule Project (TCP) of the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE). The historical developments of …