Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

Verfasser / Beitragende:
[Mohsen Hajihassani, Danial Jahed Armaghani, Aminaton Marto, Edy Tonnizam Mohamad]
Ort, Verlag, Jahr:
2015
Enthalten in:
Bulletin of Engineering Geology and the Environment, 74/3(2015-08-01), 873-886
Format:
Artikel (online)
ID: 605454086
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024 7 0 |a 10.1007/s10064-014-0657-x  |2 doi 
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245 0 0 |a Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm  |h [Elektronische Daten]  |c [Mohsen Hajihassani, Danial Jahed Armaghani, Aminaton Marto, Edy Tonnizam Mohamad] 
246 1 |a Vibrations au sol prédiction dans quarry dynamitage à travers un réseau neural artificiel optimisé par une concurrence impérialiste algorithme 
520 3 |a This paper presents a new hybrid artificial neural network (ANN) optimized by imperialist competitive algorithm (ICA) to predict peak particle velocity (PPV) resulting from quarry blasting. For this purpose, 95 blasting works were precisely monitored in a granite quarry site in Malaysia and PPV values were accurately recorded in each operation. Furthermore, the most influential parameters on PPV were measured and used to train the ICA-ANN model. Considering the measured data from the granite quarry site, a new empirical equation was developed to predict PPV. For comparison, a pre-developed ANN model was developed for PPV prediction. The results demonstrated that the proposed ICA-ANN model is able to predict blasting-induced PPV better than other presented techniques. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Blast safety area  |2 nationallicence 
690 7 |a Ground vibration  |2 nationallicence 
690 7 |a Peak particle velocity  |2 nationallicence 
690 7 |a Artificial neural network  |2 nationallicence 
690 7 |a Imperialist competitive algorithm  |2 nationallicence 
690 7 |a Blast zone de sécurité au sol  |2 nationallicence 
690 7 |a vibrations, Pic de vélocité à particules  |2 nationallicence 
690 7 |a réseaux de neurones artificiels  |2 nationallicence 
690 7 |a concurrentielle impérialiste algorithme  |2 nationallicence 
700 1 |a Hajihassani  |D Mohsen  |u Construction Research Alliance, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
700 1 |a Jahed Armaghani  |D Danial  |u Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
700 1 |a Marto  |D Aminaton  |u Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
700 1 |a Tonnizam Mohamad  |D Edy  |u Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
773 0 |t Bulletin of Engineering Geology and the Environment  |d Springer Berlin Heidelberg  |g 74/3(2015-08-01), 873-886  |x 1435-9529  |q 74:3<873  |1 2015  |2 74  |o 10064 
856 4 0 |u https://doi.org/10.1007/s10064-014-0657-x  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s10064-014-0657-x  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Hajihassani  |D Mohsen  |u Construction Research Alliance, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Jahed Armaghani  |D Danial  |u Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Marto  |D Aminaton  |u Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Tonnizam Mohamad  |D Edy  |u Faculty of Civil Engineering, Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, UTM Skudai, 81310, Johor, Malaysia  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Bulletin of Engineering Geology and the Environment  |d Springer Berlin Heidelberg  |g 74/3(2015-08-01), 873-886  |x 1435-9529  |q 74:3<873  |1 2015  |2 74  |o 10064