Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine
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, th...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/21734 |
| _version_ | 1848750673174200320 |
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| author | Mohammadnejad, M. Gholami, Raoof Ramezanzadeh, A. Jalali, M. |
| author_facet | Mohammadnejad, M. Gholami, Raoof Ramezanzadeh, A. Jalali, M. |
| author_sort | Mohammadnejad, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:40:34Z |
| format | Journal Article |
| id | curtin-20.500.11937-21734 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:40:34Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-217342017-09-13T13:53:06Z Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine Mohammadnejad, M. Gholami, Raoof Ramezanzadeh, A. Jalali, M. 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/21734 10.1177/1077546311421052 restricted |
| spellingShingle | Mohammadnejad, M. Gholami, Raoof Ramezanzadeh, A. Jalali, M. Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine |
| title | Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine |
| title_full | Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine |
| title_fullStr | Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine |
| title_full_unstemmed | Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine |
| title_short | Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine |
| title_sort | prediction of blast-induced vibrations in limestone quarries using support vector machine |
| url | http://hdl.handle.net/20.500.11937/21734 |