Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine

    Access Status
    Fulltext not available
    Authors
    Mohammadnejad, M.
    Gholami, Raoof
    Ramezanzadeh, A.
    Jalali, M.
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Mohammadnejad, M. and Gholami, R. and Ramezanzadeh, A. and Jalali, M. 2012. Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine. JVC/Journal of Vibration and Control. 18 (9): pp. 1322-1329.
    Source Title
    JVC/Journal of Vibration and Control
    DOI
    10.1177/1077546311421052
    ISSN
    1077-5463
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/21734
    Collection
    • Curtin Research Publications
    Abstract

    One of the major environmental concerns related to blasting operation in mining and civil engineering projects is ground vibration. The ground parameters should be taken into account by the prediction models, especially if the ground conditions have variable characters. In a blasting environment, this is usually possible by using an empirical method. However, in this study, the application of a novel artificial method, called a 'Support Vector Machine' (SVM), has been offered for the prediction of blast-induced ground vibration by taking into consideration the maximum charge per delay and the distance between the blast face and monitoring point. Two limestone quarries have been studied through this research. The results clearly show that the SVM can be used as a reliable predictor technique to predict the vibration level with a correlation coefficient of 0.944 which has been obtained by comparing measured and predicted values. © The Author(s) 2011 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

    Related items

    Showing items related by title, author, creator and subject.

    • Web-GIS Based Visualization System of Predicted Ground Vibration Induced by Blasting in Urban Quarry Sites
      Kawamura, Youhei; Moriyama, Yoshio; Jang, Hyong Doo (2019)
      Blasting is routinely carried out at various resource extraction sites, even in urban areas. As a consequence of this, residents around urban quarry sites are affected by ground vibration induced by blasting on a regular ...
    • Visualization of Predicted Ground Vibration Induced by Blasting in Urban Quarry Site Utilizing Web-GIS
      Moriyama, Y.; Kawamura, Y.; Jang, Hyong Doo (2019)
      Blasting is routinely carried out at various quarries. When blasting is done in an urban area, the ground vibration induced by the operation may affect nearby residents physically and mentally. In this study, a visualization ...
    • Near-field blast vibration monitoring and analysis for prediction of blast damage in sublevel open stoping
      Fleetwood, Kelly Gene (2010)
      The work presented in this thesis investigates near-field blast vibration monitoring, analysis, interpretation and blast damage prediction in sublevel open stoping geometries. As part of the investigation, seven stopes ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.