Prediction of Ground Vibration Using Various Regression Analysis
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ROCK FAILURE
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Prediction of Ground Vibration Using Various Regression Analysis S. K. Bisoyia* and B. K. Pala** a
National Institute of Technology, Rourkela, Odisha, 769008 India *e-mail: [email protected] **e-mail: [email protected] Received July 12, 2019 Revised August 20, 2019 Accepted May 29, 2020
Abstract—Blasting still dominates as the most suitable and economic processes of exploitation of minerals from the ground. Although there have been many advancements to optimize blasting to inhibit the impacts due to ground vibration caused by it, still there is a long way to go. Some empirical formulas from the past have helped in designing the mining process and served us well in configuring the blast design to minimize the adverse impacts on the surrounding environment. A couple of empirical formulas taken in this study have also proven worthy for predicting the ground vibration with good accuracy, but the reliance of the empirical formulas on only two parameters is their limitation since the beginning. This study aims to find alternatives with the help of various regression models and comparing their competence against the more traditional predictors existing today. The findings of this study suggest that the regression methods can have a better insight into the prediction of the PPV corresponding to the input parameters. The GPRs (Gaussian Process Regressions) was able to predict the ground vibration with much better precision compared to the linear regression methods and also the empirical predictors. Keywords: Ground vibrations, blasting, peak particle velocity, empirical formulas, statistical regression models, Gaussian Process Regression. DOI: 10.1134/S1062739120036665
INTRODUCTION
Blasting is the most dominant method in the mining industry to give reasonable production per capita. It is a cheap and easy method of production. Blasting has been adopted by smallest to the largest of the mines in the entire world. Although it has a great advantage against the competing methods of exploitation, it is not energy efficient. It is known to use only about 20% of the entire theoretical energy that should be stored in the blasting chemicals itself [1]. The rest energy is always lost in heat and noise. Even though it is among the cheapest methods of development and production, and does not require a huge investment upfront, it uses a chunk of the budget during the development period of mine. As high as 20% of the cost during development may go to blasting, whereas less than 5%—during the production stage [2]. Most of the energy released in a blast is wasted in terms of heat and noise. It is not very surprising to know that we have to use a lot more energy in order to get t
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