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Prediction of blasting-vibration-peak-speed by GEP |
SHI Xiu-zhi1,CHEN Xin1,SHI Cai-xing1,LIU Bo1,ZHANG Xun2 |
1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
2. School of Software, Central South University, Changsha 410083, China |
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Abstract In order to predict the peak particle velocity of blasting vibration, this paper select the measured data of an open pit bench blasting and established a prediction model of peak particle velocity of blasting vibration based on GEP with Eclipse as a development tool to simulating the date. By comparing the forecast value and the measured value, the average relative error of the three results (GEP, fuzzy-neural network and experience formula) respectively are 8.8%, 11.3% and 27.9%. Predicted results demonstrate the GEP is a feasible tool and a new idea to predict the peak particle velocity of blasting vibration.
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Received: 25 March 2014
Published: 25 May 2015
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