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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5275
Title: Empirical and probabilistic analysis of blast-induced ground vibrations
Authors: Murmu S.
Maheshwari P.
Verma H.K.
Published in: International Journal of Rock Mechanics and Mining Sciences
Abstract: An 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
Citation: International Journal of Rock Mechanics and Mining Sciences(2018), 103(): 267-274
URI: https://doi.org/10.1016/j.ijrmms.2018.01.038
http://repository.iitr.ac.in/handle/123456789/5275
Issue Date: 2018
Publisher: Elsevier Ltd
Keywords: Blast design parameters
Blast-induced ground vibrations
Burden
Monte-Carlo simulations
Probabilistic analysis
Vector Peak particle velocity (VPPV)
ISSN: 13651609
Author Scopus IDs: 57201427906
56279208800
57204684362
Author Affiliations: Murmu, S., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Maheshwari, P., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Verma, H.K., Central Institute of Mining and Fue
Corresponding Author: Maheshwari, 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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