Predicting rock burst hazard with incomplete data using Bayesian networks

N Li, X Feng, R Jimenez - Tunnelling and Underground Space Technology, 2017 - Elsevier
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 …

[HTML][HTML] Prediction of TBM jamming risk in squeezing grounds using Bayesian and artificial neural networks

R Hasanpour, J Rostami, J Schmitt, Y Ozcelik… - Journal of Rock …, 2020 - Elsevier
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 …

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 …

Predicting tunnel squeezing with incomplete data using Bayesian networks

X Feng, R Jimenez - Engineering Geology, 2015 - Elsevier
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 …

Risk assessment of water inrush in karst tunnels and software development

L Li, T Lei, S Li, Q Zhang, Z Xu, S Shi… - Arabian Journal of …, 2015 - Springer
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 …

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 …

Application of Bayesian networks in reliability assessment: A systematic literature review

QA Wang, J Chen, YQ Ni, YF **ao, NB Liu, SK Liu… - Structures, 2025 - Elsevier
Bayesian networks are robust and powerful probabilistic knowledge representation and
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) …

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 …

[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 …