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Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

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Abstract

Blasting is a widely used technique for rock fragmentation in opencast mines and tunneling projects. Ground vibration is one of the most environmental effects produced by blasting operation. Therefore, the proper prediction of blast-induced ground vibrations is essential to identify safety area of blasting. This paper presents a predictive model based on gene expression programming (GEP) for estimating ground vibration produced by blasting operations conducted in a granite quarry, Malaysia. To achieve this aim, a total number of 102 blasting operations were investigated and relevant blasting parameters were measured. Furthermore, the most influential parameters on ground vibration, i.e., burden-to-spacing ratio, hole depth, stemming, powder factor, maximum charge per delay, and the distance from the blast face were considered and utilized to construct the GEP model. In order to show the capability of GEP model in estimating ground vibration, nonlinear multiple regression (NLMR) technique was also performed using the same datasets. The results demonstrated that the proposed model is able to predict blast-induced ground vibration more accurately than other developed technique. Coefficient of determination values of 0.914 and 0.874 for training and testing datasets of GEP model, respectively show superiority of this model in predicting ground vibration, while these values were obtained as 0.829 and 0.790 for NLMR model.

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Acknowledgments

The authors would like to extend their appreciation to the Government of Malaysia and Universiti Teknologi Malaysia for the FRGS Grant No. 4F406 and for providing the required facilities that made this research possible.

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Authors and Affiliations

  1. Department of Mining, Faculty of Engineering, Tarbiat Modares University, 14115-143, Tehran, Iran

    R Shirani Faradonbeh

  2. Department of Geotechnics and Transportation, Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, UTM, Skudai, Johor, Malaysia

    D Jahed Armaghani & B. Ramesh Murlidhar

  3. UTM Construction Research Centre, Institute for Smart Infrastructure and Innovative Construction (ISIIC), Faculty of Civil Engineering, Universiti Teknologi Malaysia, 81310, Skudai, Johor, Malaysia

    M. Z. Abd Majid & M. MD Tahir

  4. Faculty of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

    M. Monjezi

  5. Department of Mechanical Engineering, University of Malaya, Kuala Lumpur, Malaysia

    H. M. Wong

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  1. R Shirani Faradonbeh
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Correspondence to D Jahed Armaghani.

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Shirani Faradonbeh, R., Jahed Armaghani, D., Abd Majid, M.Z. et al. Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction. Int. J. Environ. Sci. Technol. 13, 1453–1464 (2016). https://doi.org/10.1007/s13762-016-0979-2

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  • DOI: https://doi.org/10.1007/s13762-016-0979-2

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