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

Abstract

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.