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Feasibility of ICA in approximating ground vibration resulting from mine blasting

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Abstract

Precise prediction of blast-induced ground vibration is an essential task to reduce the environmental effects in the surface mines, civil and tunneling works. This research investigates the potential of imperialist competitive algorithm (ICA) in approximating ground vibration as a result of blasting at three quarry sites, namely Ulu Tiram, Pengerang and Masai in Malaysia. In ICA modeling, two forms of equations, namely power and quadratic, were developed. For comparison aims, several empirical models were also used. In order to develop the ICA and empirical models, maximum charge weight used per delay (W) and the distance between blasting sites and monitoring stations (D) were utilized as the independent variables, while, peak particle velocity (PPV), as a blast-induced ground vibration descriptor, was utilized as the dependent variable. Totally, 73 blasting events were monitored, and the values of W, D and PPV were carefully measured. Two statistical functions, i.e., root mean square error and coefficient of multiple determination (R 2) were used to compare the performance capability of those prediction models. Simulation results show that the proposed ICA quadratic form can get more accurate predicting results than the ICA power form and empirical models.

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Authors and Affiliations

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

    Danial Jahed Armaghani & Edy Tonnizam Mohamad

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

    Mahdi Hasanipanah

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

    Hassan Bakhshandeh Amnieh

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  1. Danial Jahed Armaghani
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  2. Mahdi Hasanipanah
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  3. Hassan Bakhshandeh Amnieh
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  4. Edy Tonnizam Mohamad
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Correspondence to Mahdi Hasanipanah.

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Armaghani, D.J., Hasanipanah, M., Amnieh, H.B. et al. Feasibility of ICA in approximating ground vibration resulting from mine blasting. Neural Comput & Applic 29, 457–465 (2018). https://doi.org/10.1007/s00521-016-2577-0

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