dc.contributor.author | Gorgulu, Kazim | |
dc.contributor.author | Arpaz, Ercan | |
dc.contributor.author | Uysal, Onder | |
dc.contributor.author | Duruturk, Y. Selim | |
dc.contributor.author | Yuksek, A. Gurkan | |
dc.contributor.author | Kocaslan, Arzu | |
dc.contributor.author | Dilmac, M. Kursat | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T09:48:38Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T09:48:38Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 1866-7511 | |
dc.identifier.issn | 1866-7538 | |
dc.identifier.uri | https://dx.doi.org/10.1007/s12517-014-1477-9 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/7828 | |
dc.description | WOS: 000355336800071 | en_US |
dc.description.abstract | This study addresses the effects of rock characteristics and blasting design parameters on blast-induced vibrations in the Kangal open-pit coal mine, the Tulu open-pit boron mine, and the Kirka open-pit boron mine. In this study, multiple vibration measurements have been conducted, and the related data have been analyzed and evaluated. Several artificial neural network (ANN) and regression models based on the same blasting design parameters, resistivity, and P-wave and S wave velocities of the surrounding rocks have been constructed to estimate the peak particle velocities and the frequencies of related blast-induced vibrations. The data derived from these models and the classical evaluations indicate that ANNs provide more reliable results than the other methods. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [110M294] | en_US |
dc.description.sponsorship | This study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) project No. 110M294. The authors would also like to thank the staff of the Electricity Generation Company, Demir Export, and Eti Mine for their assistance during the field work. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | SPRINGER HEIDELBERG | en_US |
dc.relation.isversionof | 10.1007/s12517-014-1477-9 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Blasting | en_US |
dc.subject | Ground vibrations | en_US |
dc.subject | Rock properties | en_US |
dc.subject | Artificial neural networks | en_US |
dc.title | Investigation of the effects of blasting design parameters and rock properties on blast-induced ground vibrations | en_US |
dc.type | article | en_US |
dc.relation.journal | ARABIAN JOURNAL OF GEOSCIENCES | en_US |
dc.contributor.department | [Gorgulu, Kazim -- Duruturk, Y. Selim -- Dilmac, M. Kursat] Cumhuriyet Univ, Min Engn Dept, Sivas, Turkey -- [Arpaz, Ercan] Kocaeli Univ, Kocaeli Vocat Sch, Izmit, Kocaeli, Turkey -- [Uysal, Onder] Dumlupinar Univ, Min Engn Dept, Kutahya, Turkey -- [Yuksek, A. Gurkan] Cumhuriyet Univ, Dept Comp Engn, Sivas, Turkey -- [Kocaslan, Arzu] Cumhuriyet Univ, Insurance & Risk Adm, Sivas, Turkey -- [Dilmac, M. Kursat] Ataturk Univ, Min Engn Dept, Erzurum, Turkey | en_US |
dc.contributor.authorID | ARPAZ, ERCAN -- 0000-0002-6309-5356 | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.endpage | 4278 | en_US |
dc.identifier.startpage | 4269 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |