Over-excavation forecast of underground opening by using Bayes discriminant analysis method

• Published in: Journal of Central South University of Technology. Science & technology of mining and metallurgy 2008-08, Vol.15 (4), p.498-502
• Main Authors: Gong, Feng-qiang, Li, Xi-bing, Zhang, Wei
• Format: Article
• Language: English
• Subjects: Engineering; Metallic Materials
• ISSN: 1005-9784; 1993-0666
• DOI: 10.1007/s11771-008-0094-8

A method to forecast the over-excavation of underground opening by using the Bayes discriminant analysis(BDA) theory was presented. The Bayes discriminant analysis theory was introduced. Based on an engineering example, the factors influencing the over-excavation of underground opening were taken into account to build a forecast BDA model, and the prior information about over-excavation of underground opening was also taken into consideration. Five parameters influencing the over-excavation of opening, including 2 groups of joints, 1 group of layer surface, extension and space between structure faces were selected as geometric parameters. Engineering data in an underground opening were used as the training samples. The cross-validation method was introduced to verify the stability of BDA model and the ratio of mistake-discrimination was equal to zero after the BDA model was trained. Data in an underground engineering were used to test the discriminant ability of BDA model. The results show that five forecast results are identical with the actual situation and BDA can be used in practical engineering.