TY  - JOUR
PY  - 2022//
TI  - Risk assessment of surface subsidence in karst tunnels under attribute recognition theory
JO  - China safety science journal (CSSJ)
A1  - Zhou, Z.
A1  - Zhang, K.
A1  - Zhang, H.
A1  - Chen, S.
A1  - Gan, H.
SP  - 105
EP  - 112
VL  - 32
IS  - 11
N2  - In order to accurately predict the risk of surface collapse caused by karst tunnel construction, the risk evaluation of surface collapse along karst tunnels is established by using attribute evaluation method. The key factors of controlling surface collapse along karst tunnels are selected as the evaluation index of tunnel surface collapse risk. The attribute measure functions are constructed to calculate theattribute measures of each risk evaluation index. Using the integrated weighting method to determine the weights of each evaluation index. Finally, a confidence criterion was applied to recognize the surface collapse risk level, and its feasibility is verified by engineering application. The research results indicate that the risk assessment results of ground collapse obtained by the extension risk evaluation system established in this research are in good agreement with the actual engineering practice. In the established risk assessment system, the form of attribute measure function is fixed, and the determination of index weightconsiders the objective cognition of people and objective information of things, which can significantly improve the reliability od risk assessment results. © 2022 China Safety Science Journal. All rights reserved.<p /> <p>Language: zh</p>
LA  - zh
SN  - 1003-3033
UR  - http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2022.11.1867
ID  - ref1
ER  -