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A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

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Abstract

Ground vibration is one of the common environmental effects of blasting operation in mining industry, and it may cause damage to the nearby structures and the surrounding residents. So, precise estimation of blast-produced ground vibration is necessary to identify blast-safety area and also to minimize environmental effects. In this research, a hybrid of adaptive neuro-fuzzy inference system (ANFIS) optimized by particle swarm optimization (PSO) was proposed to predict blast-produced ground vibration in Pengerang granite quarry, Malaysia. For this goal, 81 blasting were investigated, and the values of peak particle velocity, distance from the blast-face and maximum charge per delay were precisely measured. To demonstrate the performance of the hybrid PSO–ANFIS, ANFIS, and United States Bureau of Mines empirical models were also developed. Comparison of the predictive models was demonstrated that the PSO–ANFIS model [with root-mean-square error (RMSE) 0.48 and coefficient of determination (R 2) of 0.984] performed better than the ANFIS with RMSE of 1.61 and R 2 of 0.965. The mentioned results prove the superiority of the newly developed PSO–ANFIS model in estimating blast-produced ground vibrations.

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Authors and Affiliations

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

    Azam Shahnazar & Mahdi Hasanipanah

  2. College of Computer Science, Tabari University of Babol, Babol, Iran

    Hima Nikafshan Rad

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

    M. M. Tahir

  4. Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, 15914, Iran

    Danial Jahed Armaghani

  5. Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Mahyar Ghoroqi

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  1. Azam Shahnazar
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  2. Hima Nikafshan Rad
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  3. Mahdi Hasanipanah
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  4. M. M. Tahir
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  5. Danial Jahed Armaghani
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Correspondence to Mahdi Hasanipanah.

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Shahnazar, A., Nikafshan Rad, H., Hasanipanah, M. et al. A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model. Environ Earth Sci 76, 527 (2017). https://doi.org/10.1007/s12665-017-6864-6

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