An attribute recognition model for safe thickness assessment between concealed karst cave and tunnel

An attribute recognition model for safe thickness assessment between a concealed karst cave and a tunnel is established based on the attribute mathematic theory. The model can be applied to carrying out risk classification of the safe thickness between a concealed karst cave and a tunnel and to guar...

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Bibliographic Details
Published in:Journal of Central South University 2019-04, Vol.26 (4), p.955-969
Main Authors: Huang, Xin, Li, Shu-cai, Xu, Zhen-hao, Guo, Ming, Shi, Xue-song, Gao, Bin, Zhang, Bo, Liu, Lang
Format: Article
Language:English
Subjects:
Classification
Engineering
Karst
Metallic Materials
Perturbation methods
Recognition
Risk assessment
Thickness
Tunnel construction
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Summary:An attribute recognition model for safe thickness assessment between a concealed karst cave and a tunnel is established based on the attribute mathematic theory. The model can be applied to carrying out risk classification of the safe thickness between a concealed karst cave and a tunnel and to guarantee construction’s safety in tunnel engineering. Firstly, the assessment indicators and classification standard of safe thickness between a concealed karst cave and a tunnel are studied based on the perturbation method. Then some attribute measurement functions are constructed to compute the attribute measurement of each single index and synthetic attribute measurement. Finally, the identification and classification of risk assessment of safe thickness between a concealed karst cave and a tunnel are recognized by the confidence criterion. The results of two engineering application show that the evaluation results agree well with the site situations in construction. The results provide a good guidance for the tunnel construction.
ISSN:2095-2899
2227-5223
DOI:10.1007/s11771-019-4063-1