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Classification and regression tree technique in estimating peak particle velocity caused by blasting

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Abstract

Blasting is a widely used technique for rock fragmentation in surface mines and tunneling projects. The ground vibrations produced by blasting operations are the main concern for the industries undertaking blasting operations, which can damage the surrounding structures, adjacent rock masses, roads and slopes in the vicinity. Therefore, proper prediction of blast-induced ground vibrations is essential to demarcate the safety area of blasting. In this research, classification and regression tree (CART) as a rule-based method was used to predict the peak particle velocity through a database comprising of 51 datasets with results of maximum charge per delay and distance from the blast face were fixed as model inputs. For comparison, the empirical and multiple regression (MR) models were also applied and proposed for peak particle velocity prediction. Performance of the proposed models were compared and evaluated using three statistical criteria, namely coefficient of correlation (R 2), root mean square error (RMSE) and variance account for (VAF). Comparison of the obtained results demonstrated that the CART technique is more reliable for predicting the peak particle velocity than the MR and empirical models and it can be introduced as a new technique in this field.

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Author information

Authors and Affiliations

  1. Faculty of Science and Technology, Federation University Australia, PO Box 663, Ballarat, VIC, 3353, Australia

    Manoj Khandelwal

  2. Young Researchers and Elite Club, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran

    Danial Jahed Armaghani

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

    Roohollah Shirani Faradonbeh & Masoud Monjezi

  4. Mining Engineering, Department of Civil Engineering, Monash University, Clayton, 3168, Australia

    Mohan Yellishetty

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

    Muhd Zaimi Abd Majid

Authors
  1. Manoj Khandelwal
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  2. Danial Jahed Armaghani
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  3. Roohollah Shirani Faradonbeh
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  4. Mohan Yellishetty
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  5. Muhd Zaimi Abd Majid
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  6. Masoud Monjezi
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Correspondence to Manoj Khandelwal.

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Khandelwal, M., Armaghani, D.J., Faradonbeh, R.S. et al. Classification and regression tree technique in estimating peak particle velocity caused by blasting. Engineering with Computers 33, 45–53 (2017). https://doi.org/10.1007/s00366-016-0455-0

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