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Prediction of blast-induced ground vibration using artificial neural network
International Journal of Rock Mechanics and Minings Sciences, 2009An attempt has been made to evaluate and predict the blast-induced ground vibration and frequency by incorporating rock properties, blast design and explosive parameters using the artificial neural network (ANN) technique. A three-layer, feed-forward back-propagation neural network having 15 hidden neurons, 10 input parameters and two output parameters
Manoj Khandelwal, Tn Singh
exaly +3 more sources
Multivariate statistical analysis approach for prediction of blast-induced ground vibration
Arabian Journal of Geosciences, 2018Excavation of coal, overburden, and mineral deposits by blasting is dominant over the globe to date, although there are certain undesirable effects of blasting which need to be controlled. Blast-induced vibration is one of the major concerns for blast designers as it may lead to structural damage.
Vivek Kumar Himanshu +2 more
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Evaluation of blast-induced ground vibration predictors
Soil Dynamics and Earthquake Engineering, 2007The present paper mainly deals with the prediction of blast-induced ground vibration level at a Magnesite Mine in tecto-dynamically vulnerable hilly terrain in Himalayan region in India. The ground vibration was monitored to calculate the safe charge of explosive to avoid the continuous complaints from the nearby villagers. The safe charge of explosive
KHANDELWAL, M, SINGH, TN
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Assessment of blast induced ground vibrations by artificial neural network
12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), 2014Blast-induced ground motion is analyzed by means of two prediction methods. First conventional approach assumes several types of nonlinear dependence of peak particle velocity on scaled distance from the explosion charge, while the second technique implements a feed-forward three-layer back-propagation neural network with three nodes in input layer ...
Kostić, Srđan +4 more
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Prediction of Blast-Induced Ground Vibrations
2023Ground vibrations are a critical factor in the rock blasting process. The instantaneous load application exerted by the gas pressure during the detonation process acts on the blasthole walls creating dynamic stresses in the adjacent rock. This triggers different sorts of stress waves, mainly divided into two categories: body and surface waves.
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Empirical and probabilistic analysis of blast-induced ground vibrations
International Journal of Rock Mechanics and Mining Sciences, 2018Abstract An attempt has been made to include an additional blast design parameter, burden, in obtaining the vector peak particle velocity , VPPV. A large set of about 640 blast data pertaining to different rock types from ten different sites in India and Turkey has been collected from the literature.
Sunny Murmu +2 more
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Effects of Axial Air Deck on Blast-Induced Ground Vibration
Rock Mechanics and Rock Engineering, 2021The technique of air-deck charge has been applied in open-pit blasting for a long time. However, the effects of axial air deck in borehole on blast-induced ground vibrations have not been well investigated. In this study, the influences of axial air deck on blast-induced peak particle velocities (PPVs) are investigated based on field tests and ...
Ruishan Cheng +3 more
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Using Intelligent Approach to Predict Blast-induced Ground Vibration
Journal of Convergence Information Technology, 2012Blast-induced ground vibration is an enormous hazardous event in the mining industry. Prediction of peak particle velocity (PPV) is very complicated due to the number of influencing parameters affecting seism wave propagation. In this paper, artificial neural network (ANN) is implemented to develop a model to predict PPV in a blasting operation.
Fuqiang Gao - +3 more
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Forecasting blast-induced ground vibration developing a CART model
Engineering with Computers, 2016Drilling and blasting is an extensively used method for the rock fragmentation in surface mines and tunneling projects. Ground vibration is one of the most important environmental effects produced by blasting operations. In this research work, classification and regression tree (CART), multiple regression (MR), and different empirical models are used ...
Mahdi Hasanipanah +4 more
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