NDLI: Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique

Content Provider	Springer Nature Link
Author	Faradonbeh, Roohollah Shirani Jahed Armaghani, Danial Monjezi, Masoud
Copyright Year	2016
Abstract	This research was aimed at developing a new model to predict flyrock distance based on a genetic programming (GP) technique. For this purpose, six granite quarry mines in the Johor area of Malaysia were investigated, for which various controllable blasting parameters were recorded. A total of 262 datasets consisting of six variables (i.e., powder factor, stemming length, burden-to-spacing ratio, blast-hole diameter, maximum charge per delay, and blast-hole depth) were collected applied to developing the flyrock predictive model. To identify the optimum model, several GP models were developed to predict flyrock. In the same way, using non-linear multiple regression (NLMR) analysis, various models were established to predict flyrock. Finally, to compare the performance of the developed models, regression coefficient (R 2), root mean square error (RMSE), variance account for (VAF), and simple ranking methods were computed. According to the results obtained from the test dataset, the best flyrock predictive model was found to be the GP based model, with R 2 = 0.908, RMSE = 17.638 and VAF = 89.917, while the corresponding values for R 2, RMSE and VAF for the NLMR model were 0.816, 26.194, and 81.041, respectively.
Starting Page	993
Ending Page	1006
Page Count	14
File Format	PDF
ISSN	14359529
Journal	Bulletin of the International Association of Engineering Geology - Bulletin de l'Association Internationale de Géologie de l'Ingénieur
Volume Number	75
Issue Number	3
e-ISSN	14359537
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-04-01
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Blasting operation Flyrock distance Genetic programming Non-linear multiple regression Geotechnical Engineering & Applied Earth Sciences Geoengineering, Foundations, Hydraulics Geoecology/Natural Processes Nature Conservation
Content Type	Text
Resource Type	Article
Subject	Geology Geotechnical Engineering and Engineering Geology

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