Influence of geological uncertainty and soil spatial variability on tunnel deformation and their importance evaluation
In geotechnical engineering, geological uncertainty and the inherent spatial variability of soil
properties are two primary sources of uncertainty, significantly impacting embedded geo …
properties are two primary sources of uncertainty, significantly impacting embedded geo …
State-of-the-art review on the use of AI-enhanced computational mechanics in geotechnical engineering
Significant uncertainties can be found in the modelling of geotechnical materials. This can
be attributed to the complex behaviour of soils and rocks amidst construction processes …
be attributed to the complex behaviour of soils and rocks amidst construction processes …
Multi-status Bayesian network for analyzing collapse risk of excavation construction
In response to the need for effective collapse risk analysis in engineering projects, a
decision support approach is presented. It is rooted in multi-status Bayesian network …
decision support approach is presented. It is rooted in multi-status Bayesian network …
Bearing capacity of shallow foundations considering geological uncertainty and soil spatial variability
The bearing capacity of shallow foundation is significantly affected by stratum uncertainty,
mainly including geological uncertainty and spatial variability of soil properties. This paper …
mainly including geological uncertainty and spatial variability of soil properties. This paper …
[HTML][HTML] Smart Techniques Promoting Sustainability in Construction Engineering and Management
Construction engineering and management (CEM) has become increasingly complicated
with the increasing size of engineering projects under different construction environments …
with the increasing size of engineering projects under different construction environments …
Probabilistic analysis of shallow foundation on earth slope using an active learning surrogate-centered procedure
In geotechnical engineering, the use of increasingly complex numerical models for design
and assessment presents a significant challenge for the application of probabilistic analysis …
and assessment presents a significant challenge for the application of probabilistic analysis …
[HTML][HTML] Probabilistic back-analysis of rainfall-induced landslides for slope reliability prediction with multi-source information
Probabilistic back-analysis is an important means to infer the statistics of uncertain soil
parameters, making the slope reliability assessment closer to the engineering reality …
parameters, making the slope reliability assessment closer to the engineering reality …
[HTML][HTML] A reliability analysis framework coupled with statistical uncertainty characterization for geotechnical engineering
L Han, W Zhang, L Wang, J Fu, L Xu, Y Wang - Geoscience Frontiers, 2024 - Elsevier
Reliability analysis plays an important role in the risk management of geotechnical
engineering. For the random field-based method, it is expected that the uncertainty …
engineering. For the random field-based method, it is expected that the uncertainty …
Simulation of geological uncertainty based on improved three-dimensional coupled Markov chain model
The natural stratigraphic distribution is uncertain due to the geological tectonic movements
and sedimentation. It is a challenge for traditional deterministic models to capture geological …
and sedimentation. It is a challenge for traditional deterministic models to capture geological …
Enhancing ground classification models for TBM tunneling: Detecting label errors in datasets
Abstract Tunnel Boring Machine (TBM) construction, particularly with closed-face TBMs,
faces uncertainties due to the inability of the operator to directly observe the ground ahead …
faces uncertainties due to the inability of the operator to directly observe the ground ahead …