Optimization of site exploration program based on coupled characterization of stratigraphic and geo-properties uncertainties
Due to the inherent spatial variability of the geological bodies, limited boreholes
(constrained by budget), and data interpretation errors, the subsurface conditions (in terms …
(constrained by budget), and data interpretation errors, the subsurface conditions (in terms …
Using conditioned random field to characterize the variability of geologic profiles
Geologic profiles cannot be identified with certainty due to inherent spatial variability and
limited site-investigation data. Random field theory is a powerful tool for evaluating the …
limited site-investigation data. Random field theory is a powerful tool for evaluating the …
Probabilistic back analysis for improved reliability of geotechnical predictions considering parameters uncertainty, model bias, and observation error
The predicted performance of a geotechnical system may deviate from the in situ
observation due to the uncertainties in the input geotechnical parameters, solution model …
observation due to the uncertainties in the input geotechnical parameters, solution model …
Predictions of deep excavation responses considering model uncertainty: Integrating BiLSTM neural networks with Bayesian updating
Predictions of excavation responses frequently differ from monitoring data due to
geotechnical uncertainties. This paper proposes an efficient Bayesian updating approach for …
geotechnical uncertainties. This paper proposes an efficient Bayesian updating approach for …
Embankment prediction using testing data and monitored behaviour: A Bayesian updating approach
Settlement prediction is critical for soft ground projects. Traditional predictions using
laboratory and field test data, however, can suffer from a lack of accuracy, which results in a …
laboratory and field test data, however, can suffer from a lack of accuracy, which results in a …
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 updating for progressive excavation of high rock slopes using multi-type monitoring data
Abstract Systems for monitoring the deformation and stress conditions of excavated high
rock slopes are usually implemented for safety reasons and to predict the stability of future …
rock slopes are usually implemented for safety reasons and to predict the stability of future …
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 …
Prediction of time-dependent tunnel convergences using a Bayesian updating approach
Convergences caused by tunnel excavation may increase with time. The prediction of these
time-dependent convergences is important for the safe design and construction of tunnels …
time-dependent convergences is important for the safe design and construction of tunnels …
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 …