Distance Discriminant Analysis Model for Predicting Mining-Induced Damage Degree of Buildings and its Application
According to the main factors affecting the mininginduced damage degree of buildings, the distance discriminant analysis model is established to predict the damage degree of buildings by using the principle of distance discriminant analysis. Many cases related to buildings damaged by mining are selected as learning samples, and the rules embedded in them are extracted. Then the distance discriminant functions for predicting the mining-induced damage degree of buildings are obtained. Besides, the learning samples are respectively substituted into the functions to inspect the accuracy of the model. Finally, the model is applied to engineering examples. Inspection and application show that the distance dicriminant analysis model has a high prediction accuracy, and is a effective method to predict the mining-induced damage degree of buildings. This will play an important role in prediction and evaluation of mining-induced damage degree of buildings.
underground engineering mining-induced damage building prediction distance discriminant analysis model
Liu Jinhai Feng Tao Liu Hui
School of Energy and Safety Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
国际会议
The 3rd International Symposium on Modern Mining & Safety Technology Proceedings(第三届现代采矿与安全技术国际学术会议)
辽宁阜新
英文
667-671
2008-08-04（万方平台首次上网日期，不代表论文的发表时间）