Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algo
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Original Paper
Prediction of Blast-Induced Ground Vibration in a Mine Using Relevance Vector Regression Optimized by Metaheuristic Algorithms Hadi Fattahi1 and Mahdi Hasanipanah
2,3
Received 15 August 2020; accepted 3 October 2020
Prediction of ground vibration induced by blasting operations is a crucial challenge to engineers working in surface mines. This study aims to assess the efficiency of two advanced machine learning models in predicting ground vibrations in a granite quarry located in Malaysia. To this end, two intelligent models were proposed by hybridizing the relevance vector regression (RVR) with the grey wolf optimization (GWO) (which formed the RVRGWO model) and with the bat-inspired algorithm (BA) (which formed the RVR-BA model). To the best of our knowledge, this is the first attempt to predict ground vibration using the RVR-GWO and RVR-BA models. The afore-mentioned models were developed and tested using 95 datasets. Then, the performance of the developed models was statistically checked through four comparative experiments using, among others, mean square error (MSE) and correlation coefficient (R). The results indicated the superiority of the RVRGWO model over the RVR-BA model in terms of prediction precision. The RVR-GWO model with R of 0.915 and MSE = 7.920 predicted the ground vibration better than the RVR-BA model with R of 0.867 and MSE = 8.551. Accordingly, it was concluded that applying the GWO algorithm to RVR can result in high accuracy in the prediction of blastinduced ground vibration. KEY WORDS: Blasting, Ground vibration, Relevance vector regression, Grey wolf optimization, Bat-inspired algorithm, Metaheuristic algorithms.
INTRODUCTION Blasting is a key technique adopted mostly in the civil and mining engineering fields for rock fragmentation purposes. The challenging issue is that, in each blasting event, only around 20% of the generated energy is applied to rock fragmentation and the rest of the energy brings about different 1
Department of Earth Sciences Engineering, Arak University of Technology, Arak, Iran. 2 Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam. 3 To whom correspondence should be addressed; e-mail: [email protected]
adverse impacts on surrounding environment and structures, for instance, ground vibration, flyrock and airblast (e.g., Hajihassani et al. 2014, 2018a, b; Matidza et al. 2020; Chen et al. 2019). The phenomena induced by blasting are illustrated in Figure 1. Among the induced adverse effects of blasting, ground vibration is recognized as the most destructive impact because it typically causes structural vibrations, demolition of buildings, instability of bench and slope, and in some cases, significant damage to underground water (e.g., Monjezi et al. 2010, 2011, 2013; Khandelwal et al. 2011; Ghasemi et al. 2013; Saadat et al. 2014; Hajihassani et al. 2015; Abbas and Asheghi 2018). Ground vibration is
Ó 2020 International Association for Mathematical Geosciences
Fattahi and Hasanipanah
Figure 1. Blas
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