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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5275
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dc.contributor.authorMurmu S.-
dc.contributor.authorMaheshwari, Priti-
dc.contributor.authorVerma H.K.-
dc.date.accessioned2020-10-06T14:53:41Z-
dc.date.available2020-10-06T14:53:41Z-
dc.date.issued2018-
dc.identifier.citationInternational Journal of Rock Mechanics and Mining Sciences(2018), 103(): 267-274-
dc.identifier.issn13651609-
dc.identifier.urihttps://doi.org/10.1016/j.ijrmms.2018.01.038-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/5275-
dc.description.abstractAn attempt has been made to include an additional blast design parameter, burden, in obtaining the vector peak particle velocity, VPPV. A large set of about 640 blast data pertaining to different rock types from ten different sites in India and Turkey has been collected from the literature. Analysis of these data has been carried out resulting in the proposal of an empirical model for peak particle velocity with due consideration to the burden along with monitoring distance and maximum charge per delay. The performance of the proposed model has been compared with existing models, and the proposed model has been found to serve the purpose of predicting VPPV with greater accuracy. Further, probabilistic analysis of VPPV has been conducted by performing Monte-Carlo (MC) simulation on proposed empirical model. Typical results corresponding to Chittorgarh limestone mines in India are presented. The input parameters namely monitoring distance and maximum charge per delay have been assumed as lognormally distributed random variables, while the burden has been assumed as discreet variable. The analysis of results of MC simulations revealed that output or the state variable, VPPV follows a lognormal distribution. It was possible to take into account the variability in the blast parameters and therefore to study its influence on VPPV. © 2018 Elsevier Ltd-
dc.language.isoen_US-
dc.publisherElsevier Ltd-
dc.relation.ispartofInternational Journal of Rock Mechanics and Mining Sciences-
dc.subjectBlast design parameters-
dc.subjectBlast-induced ground vibrations-
dc.subjectBurden-
dc.subjectMonte-Carlo simulations-
dc.subjectProbabilistic analysis-
dc.subjectVector Peak particle velocity (VPPV)-
dc.titleEmpirical and probabilistic analysis of blast-induced ground vibrations-
dc.typeArticle-
dc.scopusid57201427906-
dc.scopusid56279208800-
dc.scopusid57204684362-
dc.affiliationMurmu, S., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationMaheshwari, P., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationVerma, H.K., Central Institute of Mining and Fue-
dc.description.correspondingauthorMaheshwari, P.; Department of Civil Engineering, Indian Institute of Technology RoorkeeIndia; email: pritifce@iitr.ac.in-
Appears in Collections:Journal Publications [CE]

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