摘要
A Fisher discriminant analysis （FDA） model for the prediction of classification of rockburst in deep-buried long tunnel was established based on the Fisher discriminant theory and the actual characteristics of the project. First, the major factors of rockburst, such as the maximum tangential stress of the cavern wall σθ, uniaxial compressive strength σc, uniaxial tensile strength or, and the elastic energy index of rock Wet, were taken into account in the analysis. Three factors, Stress coefficient σθ/σc, rock brittleness coefficient σc/σt, and elastic energy index Wet, were defined as the criterion indices for rockburst prediction in the proposed model. After training and testing of 12 sets of measured data, the discriminant functions of FDA were solved, and the ratio of misdiscrimina- tion is zero. Moreover, the proposed model was used to predict rockbursts of Qinling tunnel along Xi＇an-Ankang railway. The results show that three forecast results are identical with the actual situation. Therefore, the prediction accuracy of the FDA model is acceptable.
A Fisher discriminant analysis (FDA) model for the prediction of classification of rockburst in deep-buried long tunnel was established based on the Fisher discriminant theory and the actual characteristics of the project.First, the major factors of rockburst,such as the maximum tangential stress of the cavern wall σ_θ, uniaxial compressive strength σ_c, uniaxial tensile strength σ_t, and the elastic energy index of rock W_(et), were taken into account in the analysis.Three factors, Stress coefficient σ_θlσ_c, rock brittleness coefficient σ_c/σ_t, and elastic energy index W_(et), were defined as the criterion indices for rockburst prediction in the proposed model.After training and testing of 12 sets of measured data, the discriminant functions of FDA were solved, and the ratio of misdiscrimination is zero.Moreover, the proposed model was used to predict rockbursts of Qinling tunnel along Xi'an-Ankang railway.The results show that three forecast results are identical with the actual situation.Therefore, the prediction accuracy of the FDA model is acceptable.
基金
Supported by the National 11th Five-Year Science and Technology Supporting Plan of China(2006BAB02A02)
Central South University Innovation funded projects (2009ssxt230, 2009ssxt234)
