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Estimation of blast-induced ground vibration through a soft computing framework

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Abstract

Blasting is considered as the most common technique for rock breakage in surface mines, tunneling and large infrastructural development projects. Ground vibration, as one of the most adverse effects induced by blasting operations, can cause substantial damage to structures in the nearby environment. Therefore, there is a need to make accurate predictions of blast-induced ground vibration for minimizing the environmental effects. The present paper explores the possibility of using the genetic algorithm (GA) to create a new predictive model for estimating blast-induced ground vibration at Bakhtiari dam region, Iran. In this regard, two form of equations, i.e., power and linear forms, were developed by GA. Maximum charge weight per delay (W) and distance between monitoring station and blasting point (D), as the most influential parameters on the ground vibration, were used as the input or independent variables for modeling. Also, the peak particle velocity (PPV) parameter, as a descriptor for evaluating blast-induced ground vibration, was considered as the output or dependent variables for modeling. In total, 85 blasting events were considered and the D, W and PPV parameters were precisely measured. The selected GA forms were then compared with the several empirical prediction models. Finally, it was found that the GA power form (with root-mean-square error (RMSE) 0.45 and coefficient of multiple determination (R 2) of 0.92) was more acceptable model for predicting PPV than the GA linear form and the empirical prediction models.

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Acknowledgements

The authors would like to extend their appreciation to manager, engineers and personnel of Bakhtiari dam, especially Mr. Alireza Farazmand, 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 & Saeid Bagheri Golzar

  2. Department of Civil Engineering, Khorramabad Branch, Islamic Azad University, Khorramabad, Iran

    Iman Abbasi Larki

  3. Young Researchers and Elite Club, Izeh Branch, Islamic Azad University, Izeh, Iran

    Masoume Yazdanpanah Maryaki

  4. Multimedia Information Technology Engineering, Shahid Beheshti University, Tehran, Iran

    Tade Ghahremanians

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  1. Mahdi Hasanipanah
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  5. Tade Ghahremanians
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Correspondence to Saeid Bagheri Golzar.

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Hasanipanah, M., Golzar, S.B., Larki, I.A. et al. Estimation of blast-induced ground vibration through a soft computing framework. Engineering with Computers 33, 951–959 (2017). https://doi.org/10.1007/s00366-017-0508-z

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