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Predicting rock burst hazard with incomplete data using Bayesian networks
Rock burst is a dynamic process of sudden, rapid and violent release of elastic energy
accumulated in rock and coal masses during underground activities. It can lead to …
accumulated in rock and coal masses during underground activities. It can lead to …
[HTML][HTML] Prediction of TBM jamming risk in squeezing grounds using Bayesian and artificial neural networks
This study presents an application of artificial neural network (ANN) and Bayesian network
(BN) for evaluation of jamming risk of the shielded tunnel boring machines (TBMs) in …
(BN) for evaluation of jamming risk of the shielded tunnel boring machines (TBMs) in …
A failure probability evaluation method for collapse of drill-and-blast tunnels based on multistate fuzzy Bayesian network
GH Zhang, W Chen, YY Jiao, H Wang, CT Wang - Engineering Geology, 2020 - Elsevier
Collapse is one of the main hazards during tunnel construction by the drill-and-blast method.
In order to evaluate the collapse risk and provide a basis for risk control, a failure probability …
In order to evaluate the collapse risk and provide a basis for risk control, a failure probability …
Predicting tunnel squeezing with incomplete data using Bayesian networks
Tunnel squeezing or time-dependent large deformations due to creep are common in
tunnels constructed in weak rock masses at large depth or subjected to high horizontal in …
tunnels constructed in weak rock masses at large depth or subjected to high horizontal in …
Risk assessment of water inrush in karst tunnels and software development
Water inrush makes time extended, instruments destructed, and casualty increased, which is
the biggest threat for safe construction of tunnels in karst areas. A software system for risk …
the biggest threat for safe construction of tunnels in karst areas. A software system for risk …
Quantitative assessment method for road tunnel fire safety: Development of an evacuation simulation method using CFD-derived smoke behavior
M Seike, N Kawabata, M Hasegawa - Safety science, 2017 - Elsevier
This study proposes a quantitative method for assessing road tunnel fire safety based on a
numerical simulation of in-smoke evacuation. Considering evacuation in tunnels which is a …
numerical simulation of in-smoke evacuation. Considering evacuation in tunnels which is a …
Application of Bayesian networks in reliability assessment: A systematic literature review
Bayesian networks are robust and powerful probabilistic knowledge representation and
inference models that are widely used in engineering structures for reliability assessment …
inference models that are widely used in engineering structures for reliability assessment …
Construction productivity prediction through Bayesian networks for building projects: Case from Vietnam
HD Khanh, SY Kim - Engineering, Construction and Architectural …, 2022 - emerald.com
Purpose This study aims to focus on exploring the construction productivity of building
projects under the influence of potential factors. The three primary purposes are (1) …
projects under the influence of potential factors. The three primary purposes are (1) …
Quantitative Risk Analysis on the Transport of Dangerous Goods Through a Bi‐Directional Road Tunnel
C Caliendo, ML De Guglielmo - Risk Analysis, 2017 - Wiley Online Library
A quantitative risk analysis (QRA) regarding dangerous goods vehicles (DGVs) running
through road tunnels was set up. Peak hourly traffic volumes (VHP), percentage of heavy …
through road tunnels was set up. Peak hourly traffic volumes (VHP), percentage of heavy …
[HTML][HTML] System risk modelling and decision-making–Reflections and common pitfalls
NP Høj, IB Kroon, JS Nielsen, M Schubert - Structural Safety, 2025 - Elsevier
Since its foundation, the Joint Committee on Structural Safety (JCSS) has been engaged in
the discussion of methods for determining the reliability of components, calibration of …
the discussion of methods for determining the reliability of components, calibration of …