To effectively assess the
resilience of highway tunnel construction safety systems during the tunnel
entry stage in landslideprone
areas, a Bayesian network resilience evaluation model is developed using
Dempster-Shafer(D-S) evidence
theory. This model establishes 16 resilience evaluation indices for the
construction safety system of highway tunnel openings from the perspectives of
pressure, state, and response according to the pressure-state-response model. Subsequently, a
Bayesian network is constructed based on the binary relationships among these
indices. Finally, D-S evidence theory is applied to
compute conditional probabilities of BN node, and the resilience level is
analyzed using Netica software. The model was implemented for the portal
construction of the Baiyashan tunnel on the Zhuoni-Hezuo
expressway in Gansu province, China. The calculation results indicate that the
resilience level of the construction safety system at the tunnel entrance is
robust under the influence of landslide disasters. These findings agree well
with the monitoring results, thus validating the feasibility and applicability
of the proposed evaluation model.
WANG Dekai
,
HAO Wei
. Evaluation of Safety System
Resilience for Highway Tunnel Portal Construction
in Landslide-Prone Environment[J]. Tunnel Construction, 2024
, 44(7)
: 1377
-1384
.
DOI: 10.3973/j.issn.2096-4498.2024.07.005
