Prediction of blast-induced ground motion in a copper mine

•Conventional equations give poor prediction for underground blasting.•A new model is developed using artificial neural network with five input units.•Distance from shot point and delay time are the most influential parameters.

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Bibliographische Detailangaben
Veröffentlicht in:	International journal of rock mechanics and mining sciences (Oxford, England : 1997) England : 1997), 2014-07, Vol.69, p.19-25
Hauptverfasser:	LAPCEVIC, Radojica, KOSTIC, Srđan, PANTOVIC, Radoje, VASOVIC, Nebojša
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences BLASTING Buildings. Public works Computation methods. Tables. Charts COPPER RESOURCES DRILLING Exact sciences and technology Excavation Flexibility Geotechnics Measurements. Technique of testing Miscellaneous Rock Structural analysis. Stresses Tunneling Tunnels (transportation) Underground
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Beschreibung
Zusammenfassung:	•Conventional equations give poor prediction for underground blasting.•A new model is developed using artificial neural network with five input units.•Distance from shot point and delay time are the most influential parameters.
ISSN:	1365-1609 1873-4545
DOI:	10.1016/j.ijrmms.2014.03.002