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Engineering with Computers
Erschienen in: Engineering with Computers 2/2023

19.10.2021 | Original Article

Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation

verfasst von: Amirhossein Mehrdanesh, Masoud Monjezi, Manoj Khandelwal, Parichehr Bayat

Erschienen in: Engineering with Computers | Ausgabe 2/2023

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Abstract

In this paper, an attempt has been made to implement various robust techniques to predict rock fragmentation due to blasting in open pit mines using effective parameters. As rock fragmentation prediction is very complex and complicated, and due to that various artificial intelligence-based techniques, such as artificial neural network (ANN), classification and regression tree and support vector machines were selected for the modeling. To validate and compare the prediction results, conventional multivariate regression analysis was also utilized on the same data sets. Since accuracy and generality of the modeling is dependent on the number of inputs, it was tried to collect enough required information from four different open pit mines of Iran. According to the obtained results, it was revealed that ANN with a determination coefficient of 0.986 is the most precise method of modeling as compared to the other applied techniques. Also, based on the performed sensitivity analysis, it was observed that the most prevailing parameters on the rock fragmentation are rock quality designation, Schmidt hardness value, mean in-situ block size and the minimum effective ones are hole diameter, burden and spacing. The advantage of back propagation neural network technique for using in this study compared to other soft computing methods is that they are able to describe complex and nonlinear multivariable problems in a transparent way. Furthermore, ANN can be used as a first approach, where much knowledge about the influencing parameters are missing.
Vorheriger Artikel Transient behavior of imperfect bi-directional functionally graded sandwich plates under moving loads
Nächster Artikel A fourth-order compact difference method for the nonlinear time-fractional fourth-order reaction–diffusion equation

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Metadaten
Titel
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation
verfasst von
Amirhossein Mehrdanesh
Masoud Monjezi
Manoj Khandelwal
Parichehr Bayat
Publikationsdatum
19.10.2021
Verlag
Springer London
Erschienen in
Engineering with Computers / Ausgabe 2/2023
Print ISSN: 0177-0667
Elektronische ISSN: 1435-5663
DOI
https://doi.org/10.1007/s00366-021-01522-4

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