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Several non-linear models in estimating air-overpressure resulting from mine blasting

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Abstract

This research presents several non-linear models including empirical, artificial neural network (ANN), fuzzy system and adaptive neuro-fuzzy inference system (ANFIS) to estimate air-overpressure (AOp) resulting from mine blasting. For this purpose, Miduk copper mine, Iran was investigated and results of 77 blasting works were recorded to be utilized for AOp prediction. In the modeling procedure of this study, results of distance from the blast-face and maximum charge per delay were considered as predictors. After constructing the non-linear models, several performance prediction indices, i.e. root mean squared error (RMSE), variance account for (VAF), and coefficient of determination (R 2) and total ranking method are examined to choose the best predictive models and evaluation of the obtained results. It is obtained that the ANFIS model is superior to other utilized techniques in terms of R 2, RMSE, VAF and ranking herein. As an example, RMSE values of 5.628, 3.937, 3.619 and 2.329 were obtained for testing datasets of empirical, ANN, fuzzy and ANFIS models, respectively, which indicate higher performance capacity of the ANFIS technique to estimate AOp compared to other implemented methods.

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Acknowledgments

The authors would like to extend their appreciation to manager, engineers and personnel of Miduk copper complex for providing the needed information and facilities that made this research possible.

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Authors and Affiliations

  1. Young Researchers and Elite Club, Qom Branch, Islamic Azad University, Qom, Iran

    Mahdi Hasanipanah

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

    Danial Jahed Armaghani

  3. Department of Mining Engineering, University of Kashan, Kashan, Iran

    Hossein Khamesi

  4. School of Mining, College of Engineering, University of Tehran, Tehran, 11155-4563, Iran

    Hassan Bakhshandeh Amnieh

  5. Islamic Azad University, Tehran South Branch, Tehran, Iran

    Saber Ghoraba

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  1. Mahdi Hasanipanah
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  2. Danial Jahed Armaghani
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  4. Hassan Bakhshandeh Amnieh
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Correspondence to Danial Jahed Armaghani.

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Hasanipanah, M., Jahed Armaghani, D., Khamesi, H. et al. Several non-linear models in estimating air-overpressure resulting from mine blasting. Engineering with Computers 32, 441–455 (2016). https://doi.org/10.1007/s00366-015-0425-y

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