Scale of fluctuation for spatially varying soils: estimation methods and values
B Cami, S Javankhoshdel, KK Phoon… - ASCE-ASME Journal of …, 2020 - ascelibrary.org
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 …
This variability is characterized customarily by the scale of fluctuation. Scale of fluctuation …
State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction
There has been an increasing demand for underground construction due to urbanization
and limited land in metropolitan cities in the recent years. However, the behavior of …
and limited land in metropolitan cities in the recent years. However, the behavior of …
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 …
CPT-based fully probabilistic seismic liquefaction potential assessment to reduce uncertainty: Integrating XGBoost algorithm with Bayesian theorem
Z Zhao, W Duan, G Cai, M Wu, S Liu - Computers and Geotechnics, 2022 - Elsevier
The presence of model and parameter uncertainties significantly affects seismic liquefaction
potential assessments and may lead to improper geotechnical design. This study develops a …
potential assessments and may lead to improper geotechnical design. This study develops a …
Probabilistic methods for unified treatment of geotechnical and geological uncertainties in a geotechnical analysis
There are typically three types of models involved in a geotechnical analysis, ie, the
geologic model, the ground model, and the geotechnical model, each of which may be …
geologic model, the ground model, and the geotechnical model, each of which may be …
Quantification of prior knowledge in geotechnical site characterization
Geotechnical characterization of a project site often starts with desk-study and site
reconnaissance, which provide site information available prior to the project (eg, existing …
reconnaissance, which provide site information available prior to the project (eg, existing …
Bayesian approach for probabilistic site characterization using cone penetration tests
This paper develops a Bayesian approach for probabilistic site characterization (ie, on both
stratigraphy and soil properties) using cone penetration tests (CPTs). The available site …
stratigraphy and soil properties) using cone penetration tests (CPTs). The available site …
Risk assessment of the Ship steering gear failures using fuzzy-Bayesian networks
Accidents caused by steering gear malfunctions, especially during port berthing maneuvers,
the strait, and canal crossings, can lead to hazardous consequences on the environment …
the strait, and canal crossings, can lead to hazardous consequences on the environment …
Probabilistic characterization of Young's modulus of soil using equivalent samples
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 …
codes and Eurocode 7) have been developed and implemented around the world recently …
Bayesian model comparison and selection of spatial correlation functions for soil parameters
The inherent spatial variability of soils is one of the major sources of uncertainties in soil
properties, and it can be characterized explicitly using random field theory. In the context of …
properties, and it can be characterized explicitly using random field theory. In the context of …