Simplified slope reliability analysis considering spatial soil variability
Due to inherent spatial variability, soil properties vary from one location to another even
within one soil layer. Such spatial variability of soils gives rise to scale-dependency in slope …
within one soil layer. Such spatial variability of soils gives rise to scale-dependency in slope …
Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations
L Zhang, F Wu, Y Zheng, L Chen… - … and Management of …, 2018 - Taylor & Francis
Multiple types of responses, such as displacements, ground water level, pore water
pressures, water contents, etc., are usually measured in comprehensive monitoring …
pressures, water contents, etc., are usually measured in comprehensive monitoring …
Bayesian optimization for CPT-based prediction of impact pile drivability
Pile drivability predictions require information on the pile geometry, impact hammer, and the
soil resistance to driving (SRD). Current SRD prediction methods are based on databases of …
soil resistance to driving (SRD). Current SRD prediction methods are based on databases of …
Efficient and flexible Bayesian updating of embankment settlement on soft soils based on different monitoring datasets
In situ monitoring provides valuable information to update the predictions of the
embankment settlement on soft soils. Observational data obtained at different monitoring …
embankment settlement on soft soils. Observational data obtained at different monitoring …
A novel physically-based model for updating landslide susceptibility
A novel physically-based method for updating landslide susceptibility is presented in this
paper, considering both spatial and cross correlations. First, a Bayesian network relating …
paper, considering both spatial and cross correlations. First, a Bayesian network relating …
Auxiliary Bayesian updating of embankment settlement based on finite element model and response surface method
Geotechnical observational method (OM) that aims to improve predictions of geotechnical
structure responses (eg, embankment settlement) based on the monitoring data can be …
structure responses (eg, embankment settlement) based on the monitoring data can be …
Reliability-based monitoring sensitivity analysis for reinforced slopes using BUS and subset simulation methods
Slopes are frequently stabilized by reinforcement measures in geological and geotechnical
engineering. Effectiveness of reinforcement measures is vital to slope failure risk mitigation …
engineering. Effectiveness of reinforcement measures is vital to slope failure risk mitigation …
[HTML][HTML] Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information
New sensing and wireless technologies generate massive data. This paper proposes an
efficient Bayesian network to evaluate the slope safety using large-quantity field monitoring …
efficient Bayesian network to evaluate the slope safety using large-quantity field monitoring …
Prediction of pipe-jacking forces using a Bayesian updating approach
BB Sheil, SK Suryasentana, JO Templeman… - … of Geotechnical and …, 2022 - ascelibrary.org
An accurate estimation of the jacking forces likely to be experienced during microtunnelling
is a key design concern for the structural capacity of pipe segments, the location of …
is a key design concern for the structural capacity of pipe segments, the location of …
Efficient slope reliability analysis using adaptive classification-based sampling method
Slope reliability analysis can effectively account for uncertainties involved in a slope system.
However, commonly used slope reliability analysis methods often require huge …
However, commonly used slope reliability analysis methods often require huge …