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Application of soft computing to predict blast-induced ground vibration
Engineering with Computers, 2009In this study, an attempt has been made to evaluate and predict the blast-induced ground vibration by incorporating explosive charge per delay and distance from the blast face to the monitoring point using artificial neural network (ANN) technique. A three-layer feed-forward back-propagation neural network with 2-5-1 architecture was trained and tested
Manoj Khandelwal +2 more
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A Dimensional Analysis Approach to Study Blast-Induced Ground Vibration
Rock Mechanics and Rock Engineering, 2014The prediction of ground vibration is of great importance in the alleviation of the detrimental effects of blasting. Therefore, a vibration control study to minimize the harm of ground vibration and its influence on nearby structures can play an important role in the mining industry.
Manoj Khandelwal, Mahdi Saadat
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Investigation of blast-induced ground vibration effects on rural buildings
Structural Engineering and Mechanics, 2015In this paper, blast-induced vibration effects on buildings located in rural areas were investigated. Damages to reinforced concrete, adobe and masonry buildings were evaluated in C atakkopru and Susuz villages in Silvan district of Diyarbakir, Turkey.
Oncu, Mehmet Emin +3 more
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Blast-induced ground vibration prediction using support vector machine
Engineering with Computers, 2010Ground vibrations induced by blasting are one of the fundamental problems in the mining industry and may cause severe damage to structures and plants nearby. Therefore, a vibration control study plays an important role in the minimization of environmental effects of blasting in mines. In this paper, an attempt has been made to predict the peak particle
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Comparison of blast-induced ground vibration predictors in Seyitomer coal mine
2011Blast induced vibration is one of the most important environmental problems in various sectors such as mining, quarry, tunneling and pipeline trenching. Therefore, experts in this field study intensively to eliminate these effects. The majority of these studies focus on the generation of equations for forecasting values of blast induced vibrations ...
Arpaz, E. +4 more
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Predicting blast-induced ground vibration using general regression neural network
Journal of Vibration and Control, 2013Blasting is still an economical and viable method for rock excavation in mining and civil works projects. Ground vibration generated due to blasting is an undesirable phenomenon which is harmful for the nearby inhabitants and dwellings and should be prevented.
Xinhua Xue, Xingguo Yang
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Prediction of blast-induced ground vibration using artificial neural networks
Tunnelling and Underground Space Technology, 2011Blasting is still being considered to be one the most important applicable alternatives for conventional tunneling. Ground vibration generated due to blasting is an undesirable phenomenon which is harmful for the nearby habitants and dwellings and should be prevented.
M. Monjezi +2 more
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Automated intelligent hybrid computing schemes to predict blasting induced ground vibration
Engineering with Computers, 2021Blasting has been widely recognized as an economical and viable method in geo-engineering projects. However, the induced ground vibration in terms of peak particle velocity (PPV) potentially can damage the nearby environment and inhabitants. Therefore, more accurate prediction of the PPV can lead to reduce undesirable and hazardous effects of blasting.
Abbas Abbaszadeh Shahri +3 more
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Using Artificial Neural Network to Predict Blast-Induced Ground Vibration
Applied Mechanics and Materials, 2012Prediction 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.
Fu Qiang Gao, Xiao Qiang Wang
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Propagation characteristics of the blast-induced ground vibration in bench blasting
Soil Dynamics and Earthquake EngineeringShijie Bao +5 more
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