Research Article
A Dynamic Risk Assessment Method for Deep-Buried Tunnels Based on a Bayesian Network
Table 8
Dynamic risk rating node sensitivities.
| Node | Sensitivity | Variance in beliefs |
| B1 objective factor rating | 0.07405 | 0.0120759 | B3 monitoring factor rating | 0.0719 | 0.0128749 | B2 subjective factor rating | 0.06513 | 0.0115407 | A14 arch crown convergence | 0.01006 | 0.001872 | A15 side wall displacement | 0.00644 | 0.0012051 | A13 inner-tunnel observation | 0.0059 | 0.0011156 | A12 support strength | 0.00165 | 0.0003034 | A4 surrounding rock level | 0.00082 | 0.0001496 | A8 support timing | 0.00064 | 0.0001154 | A5 groundwater | 0.00062 | 0.0001131 | A3 tunnel depth | 0.00059 | 0.0001074 | A11 construction management | 0.00059 | 0.0001078 | A9 construction quality | 0.00045 | 0.0000832 | A6 mud inrush | 0.00035 | 0.0000625 | A2 construction method | 0.00035 | 0.0000645 | A7 prereinforcement effects | 0.00025 | 0.0000466 | A10 construction experience | 0.00021 | 0.000039 | A1 section size | 0.00005 | 0.0000088 |
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