Model of weighted distance discriminant analysis and application for deep roadway

作者：Luo Lei; Cao Ping^*

来源：Journal of Central South University(Science and Technology), 2012, 43(10): 3971-3975.

• Deep roadway
• Deep rock mass
• Discriminant models
• Distance discriminant analysis
• Jinchuan
• Learning functions
• Mahalanobis
• Principle component analysis
• Rock mass
• Tangent stress
• Training and testing
• Uniaxial compressive strength
• Uniaxial tensile strength
• Weight matrices
• Weighted distance

Based on the principle of Mahalanobis'; distance discriminant analysis, the ratio of maximum tangent stress of excavation to rock uniaxial compressive strength, the ratio of rock uniaxial compressive strength to rock uniaxial tensile strength and the index of elasticity energy are used as discriminant gene and the principle component analysis method is adopted to calculate weight matrix to establish weighted distance discriminant model. The deep rock mass engineering of Dongguashan copper mine is taken as the training and testing samples. The complex relations between rockburst and each influencing factor are obtained through the learning function of the discriminant model. Rockburst of the deep rock mass engineering of Jinchuan is used to verify this model, and the result shows that this model has strong practicability to forecast rockburst of the deep rock mass.

• 出版日期2012
• 单位中南大学