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dc.contributor.authorGorgulu, Kazim
dc.contributor.authorArpaz, Ercan
dc.contributor.authorDemirci, Ahmet
dc.contributor.authorKocaslan, Arzu
dc.contributor.authorDilmac, M. Kursat
dc.contributor.authorYuksek, A. Gurkan
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:58:26Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:58:26Z
dc.date.issued2013
dc.identifier.issn1435-9529
dc.identifier.issn1435-9537
dc.identifier.urihttps://dx.doi.org/10.1007/s10064-013-0521-4
dc.identifier.urihttps://hdl.handle.net/20.500.12418/8496
dc.descriptionWOS: 000327495600023en_US
dc.description.abstractBlasting, which is widely used in hard rock mining, construction, and quarrying, can have a considerable impact on the surrounding environment. The intensity of the blast-induced ground vibration is affected by parameters such as the physical and mechanical properties of the rock mass, characteristics of the explosive, and the blasting design. The rock characteristics can change greatly from field to field or from one part of a bench to another part, and can have directional variability according to discontinuities in the geological formation and structure. In this study, field measurements were carried out and their results were evaluated to determine blast-induced ground vibrations at the Eti Mine Tulu Boron Mining Facility, Turkey. Our results showed different field constants for the propagating blast vibrations depending on the direction of propagation (K = 211.25-3,671.13 and beta = 1.04-1.90) and the damping behavior of the particle velocity. Additionally, we found that the field constants decrease as the rock mass rating (%) values diminishes. A much higher correlation coefficient (R (2) = 0. 95) between the predicted and measured peak particle velocity (PPV) values was achieved for our modeling studies for PPV prediction using artificial neural networks compared with classical evaluation methods.en_US
dc.description.sponsorshipTUBITAK (The Science and Technological Research Council of Turkey) [110M294]en_US
dc.description.sponsorshipThis study was supported by TUBITAK (The Science and Technological Research Council of Turkey), Project No. 110M294. The authors would also like to thank the staff of Eti Mine for their assistance during the field work.en_US
dc.language.isoengen_US
dc.publisherSPRINGER HEIDELBERGen_US
dc.relation.isversionof10.1007/s10064-013-0521-4en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBlastingen_US
dc.subjectGround vibrationen_US
dc.subjectSite-specific constantsen_US
dc.subjectDirectional changesen_US
dc.subjectRock mass propertiesen_US
dc.subjectArtificial neural networksen_US
dc.titleInvestigation of blast-induced ground vibrations in the Tulu boron open pit mineen_US
dc.typearticleen_US
dc.relation.journalBULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENTen_US
dc.contributor.department[Gorgulu, Kazim -- Demirci, Ahmet -- Kocaslan, Arzu] Cumhuriyet Univ, Min Engn Dept, Sivas, Turkey -- [Arpaz, Ercan] Kocaeli Univ, Kocaeli Vocat Sch, Kocaeli, Turkey -- [Dilmac, M. Kursat] Ataturk Univ, Min Engn Dept, Erzurum, Turkey -- [Yuksek, A. Gurkan] Cumhuriyet Univ, Dept Comp Engn, Sivas, Turkeyen_US
dc.contributor.authorIDARPAZ, ERCAN -- 0000-0002-6309-5356en_US
dc.identifier.volume72en_US
dc.identifier.issue03.Apren_US
dc.identifier.endpage564en_US
dc.identifier.startpage555en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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