A risk assessment method for mountain tunnel collapse
based on analytic hierarchy process(AHP)entropy method and setpair analysis(SPA) theory is proposed to enhance the accuracy and
scientific validity of evaluations. Initially, a risk assessment system
comprising 12 factors is constructed. Subsequent steps involve the utilization
of AHP and entropy methods to calculate the weights of two levels of indices.
SPA is then applied to ascertain the correlation degree among indices, with the
collapse risk level determined using a confidence criterion. Furthermore, a
visual programming application based on SPA theory is developed using
Grasshopper and Python software, and integrated with a tunnelgeological building information modeling interaction model. Finally,
a digital evaluation platform for tunnel collapse risk based on the AHPentropy set analysis model is established. This platform facilitates
efficient, visualized, and scientific assessment of tunnel collapse risk. The
efficacy of this platform has been validated through its application in a
tunnel project in Chongqing, demonstrating that the SPA theorybased digital platform for mountain tunnel collapse risk assessment
operates only for 2 s. This considerably enhances the efficiency of risk
assessment, while the evaluation index weight determined using the AHPentropy method considerably improves the reliability of the
evaluation outcomes.
QIN Yawei
,
TAN Yi
,
JU Wanglai
,
CHEN Bin
. Collapse Risk Assessment of Mountain Tunnels Based on
SetPair Analysis Theory and Digital Platform[J]. Tunnel Construction, 2024
, 44(3)
: 475
-483
.
DOI: 10.3973/j.issn.2096-4498.2024.03.005
