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Application of coupled analysis methods for prediction of blast-induced dominant vibration frequency
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  • 作者：Haibo Li ; Xiaofeng Li ; Jianchun Li…
  • 关键词：grey relational analysis ; dimensional analysis ; sensitivity analysis ; dominant vibration frequency ; prediction
  • 刊名：Earthquake Engineering and Engineering Vibration
  • 出版年：2016
  • 出版时间：March 2016
  • 年：2016
  • 卷：15
  • 期：1
  • 页码：153-162
  • 全文大小：623 KB
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  • 作者单位：Haibo Li (1)
    Xiaofeng Li (1)
    Jianchun Li (1)
    Xiang Xia (1)
    Xiaowei Wang (2)

    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
  • 刊物类别：Engineering
  • 刊物主题：Vibration, Dynamical Systems and Control
    Chinese Library of Science
  • 出版者：Institute of Engineering Mechanics (IEM), China Earthquake Administration
  • ISSN：1993-503X
文摘
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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