tbm: tbm Bayesian Network

In bnRep: A Repository of Bayesian Networks from the Academic Literature

tbm Bayesian Network

Description

Risk assessment of TBM jamming based on Bayesian networks.

Format

A discrete Bayesian network to assess the risk of tunnel boring machine jamming. The Bayesian network was learned as in the referenced paper. The vertices are:

Expansive_Surrounding_Rock

(High, Low, Medium, None);

Fault_Zone

(High, Low, Medium, None);

In.Situ_Stress

(High, Low, Medium, None);

Large_Deformation_Surrounding_Rock

(Serious, Slight);

Rock_Mass_Classes

(High, Low, Medium, None);

Soft.Hard_Interbedded_Rock

(High, Low, Medium, None);

TBM_Jamming

(No, Yes);

Tunnell_Collapse

(Serious, Slight);

Underground_Water

(High, Low, Medium, None);

Water.And.Mud_Inrush

(Serious, Slight);

Value

An object of class bn.fit. Refer to the documentation of bnlearn for details.

References

Lin, P., Xiong, Y., Xu, Z., Wang, W., & Shao, R. (2022). Risk assessment of TBM jamming based on Bayesian networks. Bulletin of Engineering Geology and the Environment, 81, 1-15.

bnRep documentation built on April 12, 2025, 1:13 a.m.