Application of coupled analysis methods for prediction of blast-induced dominant vibration frequency  

作　　者：Li Haibo Li Xiaofeng Li Jianchun Xia Xiang Wang Xiaowei 

机构地区：[1]State Key Laboratory of Geomechanics and Geotechnical Engineering, Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan 430071, China [2]China Nuclear Power Engineering Company Ltd., Shenzhen 518031, China

出　　处：《Earthquake Engineering and Engineering Vibration》2016年第1期153-162,共10页地震工程与工程振动（英文刊）

基　　金：National Natural Science Funds for Distinguished Young Scholar under Grant No.51009086;Hubei Key Laboratory of Roadway Bridge and Structure Engineering under Grant No.DQJJ201313;Major State Basic Research Development Program of China(973 Program)under Grant No.2010CB732001

摘　　要：Blast-induced dominant vibration frequency （DVF） involves a complex, nonlinear and small sample system considering rock properties, blasting parameters and topography. In this study, a combination of grey relational analysis and dimensional analysis procedures for prediction of dominant vibration frequency are presented. Six factors are selected from extensive effect factor sequences based on grey relational analysis, and then a novel blast-induced dominant vibration frequency prediction is obtained by dimensional analysis. In addition, the prediction is simplified by sensitivity analysis with 195 experimental blast records. Validation is carried out for the proposed formula based on the site test database of the first- period blasting excavation in the Guangdong Lufeng Nuclear Power Plant （GLNPP）. The results show the proposed approach has a higher fitting degree and smaller mean error when compared with traditional predictions.Blast-induced dominant vibration frequency （DVF） involves a complex, nonlinear and small sample system considering rock properties, blasting parameters and topography. In this study, a combination of grey relational analysis and dimensional analysis procedures for prediction of dominant vibration frequency are presented. Six factors are selected from extensive effect factor sequences based on grey relational analysis, and then a novel blast-induced dominant vibration frequency prediction is obtained by dimensional analysis. In addition, the prediction is simplified by sensitivity analysis with 195 experimental blast records. Validation is carried out for the proposed formula based on the site test database of the first- period blasting excavation in the Guangdong Lufeng Nuclear Power Plant （GLNPP）. The results show the proposed approach has a higher fitting degree and smaller mean error when compared with traditional predictions.

关 键 词：grey relational analysis dimensional analysis sensitivity analysis dominant vibration frequency PREDICTION 

分 类 号：TU45[建筑科学—岩土工程]