Research Article
A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network
| Nodes | Node range |
| A1 section size | Medium | | Large | A2 construction method | Center diagram method (CD) | Bench cut method (BCM) | Ring cut method (RCM) | Full face excavation method (FFEM) | Center cross diagram method (CRD) | A3 tunnel depth | <15 m | 15~25 m | >25 m | A4 surrounding rock level | IV | V | VI | A5 groundwater | No water | Water leaking | Water gushing | A6 mud inrush | No mud | Mud leaking | Mud inrush | A7 prereinforcement effects | Good | Medium | Poor | A8 support timing | In time | | Late | A9 construction quality | Good | Medium | Poor | A10 construction experience | Well experienced | Medium | Inexperienced | A11 construction management | Strict | Medium | Poor | A12 support strength | High | Medium | Low | A13 inner-tunnel observation | Normal | Slight cracks | Slip off | A14 arch crown convergence | III | II | I | A15 side wall displacement | III | II | I | B1 objective factor rating | I | II | III | B2 subjective factor rating | I | II | III | B3 monitoring factor rating | I | II | III | C1 dynamic risk rating | I | II | III |
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