Classification of rocks surrounding tunnel using Fisher discriminant analysis method
Abstract：Fisher discriminant model was established to the classification of rocks surrounding tunnel based on the principle of Fisher discriminant analysis theory(FDA).Six factors which reflecting the engineering quality of rock masses were selected such as the rock quality designation,integrity coefficient,uniaxialcom pressive strength under saturation,longitudinal wave velocity,elasticity resisting coefficient and friction coefficient of joint planes as the discriminant factors of the FDA model.Discriminant functions were obtained through training of thirty sets of in-situ data,each of the thirty sets of samples was tested by using resubstitution method according,and the correct rate was equal to 93.3%.The prediction result of other seven actual cases by the proposed method well accords with the actual situation,is agrees with the reality and agrees with Bayes discriminant and neural network method discriminant result.The results show that the FDA model is a simple,feasible and high accurate prediction method,and it is one of the efficient methods for solving classification of rocks surrounding tunnel.
Keywords：rocks surrounding tunnelclassificationFisher discriminant analysis
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1665-1670 )