Abstract
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 firstperiod 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.
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Supported by: 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 and Major State Basic Research Development Program of China (973 Program) under Grant No. 2010CB732001
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Li, H., Li, X., Li, J. et al. Application of coupled analysis methods for prediction of blast-induced dominant vibration frequency. Earthq. Eng. Eng. Vib. 15, 153–162 (2016). https://doi.org/10.1007/s11803-016-0312-6
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DOI: https://doi.org/10.1007/s11803-016-0312-6