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