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Arabian Journal for Science and Engineering

, Volume 43, Issue 10, pp 5541–5549 | Cite as

Study on the Robust Regression of the Prediction of Vibration Velocity in Underwater Drilling and Blasting

  • Yaxiong Peng
  • Li Wu
  • Chunhui Chen
  • Binbin Zhu
  • Qinji Jia
Research Article - Civil Engineering

Abstract

In underwater drilling and blasting engineering, the altitude effect must be reflected in predicting vibration velocity due to the complex water medium conditions and monitoring environment. In this paper, the similar law of explosion was employed and the elevation difference factor \(\beta \) was introduced to embody the impact altitude had on vibration velocity, and the prediction formula which embodied the altitude effect was presented. On account of the weakness of the regression analysis of OLS method, the robust regression was proposed to predict vibration velocity, which enhanced the robustness of the prediction formula. Based on the shallow blasting engineering of Guoyuan Port in Chongqing, China, the method above was, respectively, adopted to fit vibration velocity, and three groups of underwater drilling and blasting tests in the same field conditions were conducted to certify the fitting results. Result shows that the optimized formula is more accurate than Sadove Formula. Besides, the weighted calculation can remarkably improve the robustness of the prediction formula, and the robust regression is more suitable for predicting vibration velocity in underwater drilling and blasting.

Keywords

Underwater drilling and blasting Vibration velocity Altitude effect Robust regression Ordinary least squares 

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Notes

Acknowledgements

The research described in this paper was financially supported by National Natural Science Foundation of China (Grant no. 41672260) and the technology plan program of HuBei province (Grant no. 2013CFA110).

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Copyright information

© King Fahd University of Petroleum & Minerals 2018

Authors and Affiliations

  • Yaxiong Peng
    • 1
  • Li Wu
    • 1
  • Chunhui Chen
    • 1
  • Binbin Zhu
    • 1
  • Qinji Jia
    • 1
  1. 1.Faculty of EngineeringChina University of GeosciencesWuhanChina

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