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A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network
Joint Authors
Marto, Aminaton
Makhtar, Ahmad Mahir
Hajihassani, Mohsen
Jahed Armaghani, Danial
Tonnizam Mohamad, Edy
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Flyrock is one of the major disturbances induced by blasting which may cause severe damage to nearby structures.
This phenomenon has to be precisely predicted and subsequently controlled through the changing in the blast design to minimize potential risk of blasting.
The scope of this study is to predict flyrock induced by blasting through a novel approach based on the combination of imperialist competitive algorithm (ICA) and artificial neural network (ANN).
For this purpose, the parameters of 113 blasting operations were accurately recorded and flyrock distances were measured for each operation.
By applying the sensitivity analysis, maximum charge per delay and powder factor were determined as the most influential parameters on flyrock.
In the light of this analysis, two new empirical predictors were developed to predict flyrock distance.
For a comparison purpose, a predeveloped backpropagation (BP) ANN was developed and the results were compared with those of the proposed ICA-ANN model and empirical predictors.
The results clearly showed the superiority of the proposed ICA-ANN model in comparison with the proposed BP-ANN model and empirical approaches.
American Psychological Association (APA)
Marto, Aminaton& Hajihassani, Mohsen& Jahed Armaghani, Danial& Tonnizam Mohamad, Edy& Makhtar, Ahmad Mahir. 2014. A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1050473
Modern Language Association (MLA)
Marto, Aminaton…[et al.]. A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1050473
American Medical Association (AMA)
Marto, Aminaton& Hajihassani, Mohsen& Jahed Armaghani, Danial& Tonnizam Mohamad, Edy& Makhtar, Ahmad Mahir. A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1050473
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1050473