Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting
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Original Paper
Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting in a Mine Parichehr Bayat,1 Masoud Monjezi,1,3 Mojtaba Rezakhah,1 and Danial Jahed Armaghani2 Received 12 April 2020; accepted 4 May 2020
It is of a high importance to introduce intelligent systems for estimation and optimization of blasting-induced ground vibration because it is one the most unwanted phenomena of blasting and it can damage surrounding structures. Hence, in this paper, estimation and minimization of blast-induced peak particle velocity (PPV) were conducted in two separate phases, namely prediction and optimization. In the prediction phase, an artificial neural network (ANN) model was developed to forecast PPV using as model inputs burden, spacing, distance from blast face, and charge per delay. The results of prediction phase showed that the ANN model, with coefficient of determinations of 0.938 and 0.977 for training and testing stages, respectively, can provide a high level of accuracy. In the optimization phase, the developed ANN model was used as an objective function of firefly algorithm (FA) in order to minimize the PPV. Many FA models were constructed to see the effects of FA parameters on the optimization results. Eventually, it was found that the FAbased optimization was able to decrease PPV to 17 mm/s (or 60% reduction). In addition, burden of 3.1 m, spacing of 3.9 m, and charge per delay of 247 kg were obtained as the values optimized by FA. The results confirmed that both developed techniques of ANN and FA are powerful, accurate, and applicable in estimating and minimizing blasting-induced ground vibration and they can be used with caution in similar fields. KEY WORDS: Ground vibration, Optimization, Minimization, Artificial neural network, Firefly algorithm.
INTRODUCTION Blasting is universally the most popular method for fragmenting in situ rock for excavation in mining and construction activities (Mehrdanesh et al. 2018). However, such operations typically release huge
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Department of Mining, Faculty of Engineering, Tarbiat Modares University, Tehran 14115-143, Iran. 2 Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia. 3 To whom correspondence should be addressed; e-mail: [email protected]
volumes of useless energy, which bring about some environmental effects such as air blast or air overpressure, flyrock, ground vibrations, back-break, and many others (Khandelwal and Singh 2006; Monjezi et al. 2011a, b; Armaghani et al. 2014, 2018; Han et al. 2020). Among all of environmental side effects of blasting, ground vibration is highlighted as one of the most serious (Monjezi et al. 2010; Hajihassani et al. 2015; Jahed Armaghani et al. 2015; Hasanipanah et al. 2015). Blasting-induced ground vibration has undesirable impacts not only on the integrity of structures but also on groundwater in the neighboring region (Singh and Singh 2005; Khan-
2020 International Association for Mathematical
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